Speakers | Kisaco Research

Speakers

Efficient Generative AI Summit
9 September, 2024
Signia by Hilton, San Jose, CA

2023 SPEAKERS

Author:

Subutai Ahmad

CEO
Numenta

Subutai is passionate about neuroscience, deep learning, and building intelligent systems. An accomplished technologist, he has been instrumental in driving Numenta’s research, technology and business since 2005. He previously served as VP Engineering at YesVideo where he helped grow the company from a three-person start-up to a leader in automated digital media authoring. In 1997, Subutai co-founded ePlanet Interactive which developed the IntelPlay Me2Cam, the first computer vision product developed for consumers. Subutai holds a B.S. in Computer Science from Cornell University, and a Ph.D in Computer Science from the University of Illinois at Urbana-Champaign.

Subutai Ahmad

CEO
Numenta

Subutai is passionate about neuroscience, deep learning, and building intelligent systems. An accomplished technologist, he has been instrumental in driving Numenta’s research, technology and business since 2005. He previously served as VP Engineering at YesVideo where he helped grow the company from a three-person start-up to a leader in automated digital media authoring. In 1997, Subutai co-founded ePlanet Interactive which developed the IntelPlay Me2Cam, the first computer vision product developed for consumers. Subutai holds a B.S. in Computer Science from Cornell University, and a Ph.D in Computer Science from the University of Illinois at Urbana-Champaign.

Author:

Vikas Chandra

Senior Director, AI
Meta

Vikas Chandra is Senior Director at Meta Reality Labs where he works on AI research focusing on AR and VR products. Prior to Meta, he was Director of Applied Machine Learning at Arm Inc. He received his Ph.D. and M.S. degrees in Electrical and Computer Engineering from Carnegie Mellon University. He held the positions of Visiting Scholar (2011 – 2014) and Visiting Faculty (2016 - 2017) in the EE department at Stanford University. He has authored 120+ research publications and is an inventor on 40+ US and international patents. Dr. Chandra received the ACM-SIGDA Technical Leadership Award in 2009 and was invited to the 2017 Frontiers of Engineering Symposium organized by the National Academy of Engineering. He is a senior member of IEEE.

Vikas Chandra

Senior Director, AI
Meta

Vikas Chandra is Senior Director at Meta Reality Labs where he works on AI research focusing on AR and VR products. Prior to Meta, he was Director of Applied Machine Learning at Arm Inc. He received his Ph.D. and M.S. degrees in Electrical and Computer Engineering from Carnegie Mellon University. He held the positions of Visiting Scholar (2011 – 2014) and Visiting Faculty (2016 - 2017) in the EE department at Stanford University. He has authored 120+ research publications and is an inventor on 40+ US and international patents. Dr. Chandra received the ACM-SIGDA Technical Leadership Award in 2009 and was invited to the 2017 Frontiers of Engineering Symposium organized by the National Academy of Engineering. He is a senior member of IEEE.

Author:

Fausto Artico

Head of Innovation and Data Science
GSK

Fausto has two PhDs (Information & Computer Science respectively), earning his second master’s and PhD at the University of California, Irvine. Fausto also holds multiple certifications from MIT, Columbia University, London School of Economics and Political Science, Kellogg School of Management, University of Cambridge and soon also from the University of California, Berkeley. He has worked in multi-disciplinary teams and has over 20 years of experience in academia and industry.

As a Physicist, Mathematician, Engineer, Computer Scientist, and High-Performance Computing (HPC) and Data Science expert, Fausto has worked on key projects at European and American government institutions and with key individuals, like Nobel Prize winner Michael J. Prather. After his time at NVIDIA corporation in Silicon Valley, Fausto worked at the IBM T J Watson Center in New York on Exascale Supercomputing Systems for the US government (e.g., Livermore and Oak Ridge Labs).

Fausto Artico

Head of Innovation and Data Science
GSK

Fausto has two PhDs (Information & Computer Science respectively), earning his second master’s and PhD at the University of California, Irvine. Fausto also holds multiple certifications from MIT, Columbia University, London School of Economics and Political Science, Kellogg School of Management, University of Cambridge and soon also from the University of California, Berkeley. He has worked in multi-disciplinary teams and has over 20 years of experience in academia and industry.

As a Physicist, Mathematician, Engineer, Computer Scientist, and High-Performance Computing (HPC) and Data Science expert, Fausto has worked on key projects at European and American government institutions and with key individuals, like Nobel Prize winner Michael J. Prather. After his time at NVIDIA corporation in Silicon Valley, Fausto worked at the IBM T J Watson Center in New York on Exascale Supercomputing Systems for the US government (e.g., Livermore and Oak Ridge Labs).

Author:

Rashmi Gopinath

General Partner
B Capital

Rashmi Gopinath is a General Partner at B Capital Group where she leads the fund’s enterprise software practice in cloud infrastructure, cybersecurity, devops, and AI/ML sectors. She brings over two decades of experience investing and operating in cutting-edge enterprise technologies. She led B Capital’s investments in over 24 companies such as DataRobot, FalconX, Clari, Phenom People, Synack, Innovaccer, Labelbox, Fabric, 6Sense, Highspot, Pendo, Starburst, OwnBackup, Figment, Perimeter81, Zesty, among others.

Rashmi was previously a Managing Director at M12, Microsoft’s venture fund, where she led investments globally in enterprise software and sat on several boards including Synack, Innovaccer, Contrast Security, Frame, UnravelData, Incorta, among others.

Prior to M12, Rashmi was an Investment Director with Intel Capital where she was involved in the firm’s investments in startups including MongoDB (Nasdaq: MDB), ForeScout (Nasdaq: FSCT), Maginatics (acq. by EMC), BlueData (acq. by HPE), among others. Rashmi held operating roles at high-growth startups such as BlueData (acq. by HPE) and Couchbase (Nasdaq: BASE) where she led global business development, product and marketing roles. She began her career in engineering and product roles at Oracle and GE Healthcare. She earned an M.B.A. from Northwestern University, and a B.S. in Electrical Engineering from University of Mumbai in India.

Rashmi Gopinath

General Partner
B Capital

Rashmi Gopinath is a General Partner at B Capital Group where she leads the fund’s enterprise software practice in cloud infrastructure, cybersecurity, devops, and AI/ML sectors. She brings over two decades of experience investing and operating in cutting-edge enterprise technologies. She led B Capital’s investments in over 24 companies such as DataRobot, FalconX, Clari, Phenom People, Synack, Innovaccer, Labelbox, Fabric, 6Sense, Highspot, Pendo, Starburst, OwnBackup, Figment, Perimeter81, Zesty, among others.

Rashmi was previously a Managing Director at M12, Microsoft’s venture fund, where she led investments globally in enterprise software and sat on several boards including Synack, Innovaccer, Contrast Security, Frame, UnravelData, Incorta, among others.

Prior to M12, Rashmi was an Investment Director with Intel Capital where she was involved in the firm’s investments in startups including MongoDB (Nasdaq: MDB), ForeScout (Nasdaq: FSCT), Maginatics (acq. by EMC), BlueData (acq. by HPE), among others. Rashmi held operating roles at high-growth startups such as BlueData (acq. by HPE) and Couchbase (Nasdaq: BASE) where she led global business development, product and marketing roles. She began her career in engineering and product roles at Oracle and GE Healthcare. She earned an M.B.A. from Northwestern University, and a B.S. in Electrical Engineering from University of Mumbai in India.

Author:

Jay Dawani

CEO
Lemurian Labs

Jay Dawani is co-founder & CEO of Lemurian Labs, a startup at the forefront of general purpose accelerated computing for making AI development affordable and generally available for all companies and people to equally benefit. Author of the influential book "Mathematics for Deep Learning", he has held leadership positions at companies such as BlocPlay and Geometric Energy Corporation, spearheading projects involving quantum computing, metaverse, blockchain, AI, space robotics, and more. Jay has also served as an advisor to NASA Frontier Development Lab, SiaClassic, and many leading AI firms.

Jay Dawani

CEO
Lemurian Labs

Jay Dawani is co-founder & CEO of Lemurian Labs, a startup at the forefront of general purpose accelerated computing for making AI development affordable and generally available for all companies and people to equally benefit. Author of the influential book "Mathematics for Deep Learning", he has held leadership positions at companies such as BlocPlay and Geometric Energy Corporation, spearheading projects involving quantum computing, metaverse, blockchain, AI, space robotics, and more. Jay has also served as an advisor to NASA Frontier Development Lab, SiaClassic, and many leading AI firms.

Author:

Arun Nandi

Senior Director and Head of Data & Analytics
Unilever

Arun is a visionary AI and Analytics expert recognized as one of the Top 100 Influential AI & Analytics leaders. He is the Head of Data & Analytics at Unilever today. With over 15 years of experience driving analytics-driven value in organizations, he has built AI practices from the ground up on several occasions. Arun advocates the adoption of AI to overcome enterprise-wide challenges and create growth. Beyond his professional achievements, Arun loves to travel, having explored over 40 countries and is passionate about adventure motorbiking.

Arun Nandi

Senior Director and Head of Data & Analytics
Unilever

Arun is a visionary AI and Analytics expert recognized as one of the Top 100 Influential AI & Analytics leaders. He is the Head of Data & Analytics at Unilever today. With over 15 years of experience driving analytics-driven value in organizations, he has built AI practices from the ground up on several occasions. Arun advocates the adoption of AI to overcome enterprise-wide challenges and create growth. Beyond his professional achievements, Arun loves to travel, having explored over 40 countries and is passionate about adventure motorbiking.

Author:

Helen Byrne

VP, Solution Architect
Graphcore

Helen leads the Solution Architects team at Graphcore, helping innovators build their AI solutions using Graphcore’s Intelligence Processing Units (IPUs). She has been at Graphcore for more than 5 years, previously leading AI Field Engineering and working in AI Research, working on problems in Distributed Machine Learning. Before landing in the technology industry, she worked in Investment Banking. Her background is in Mathematics and she has a MSc in Artificial Intelligence.

Helen Byrne

VP, Solution Architect
Graphcore

Helen leads the Solution Architects team at Graphcore, helping innovators build their AI solutions using Graphcore’s Intelligence Processing Units (IPUs). She has been at Graphcore for more than 5 years, previously leading AI Field Engineering and working in AI Research, working on problems in Distributed Machine Learning. Before landing in the technology industry, she worked in Investment Banking. Her background is in Mathematics and she has a MSc in Artificial Intelligence.

Author:

Greg Makowski

Head of Data Science Services
Johnson Controls

Greg Makowski

Head of Data Science Services
Johnson Controls

Author:

Yvonne Lutsch

Investment Principal
Bosch Ventures

Yvonne is an accomplished Investment Principal at Bosch Ventures affiliate office located in Sunnyvale, and sources, evaluates, and executes venture capital deals in North America. Her specialty are investments in deep tech fields such as AI, edge and next gen. computing incl. quantum, robotics, industrial IoT, mobility, climate tech, semiconductors, or sensors. She is an investor and non-executive board member of Bosch Ventures’ portfolio companies Syntiant, Zapata AI, UltraSense Systems, Aclima, and Recogni.
Prior to this position Yvonne was Director of Technology Scouting and Business Development, building up an Innovation Hub in Silicon Valley including startup scouting, business development while advising executives of the Bosch business units on their strategy. She has more than two decades of solid experience in manufacturing operations and engineering in the automotive and consumer electronics space – gained through different executive roles at Bosch in Germany.
Yvonne received a diploma in Experimental Physics from University of Siegen, Germany, and holds a PhD in Applied Physics from University of Tuebingen, Germany.

Yvonne Lutsch

Investment Principal
Bosch Ventures

Yvonne is an accomplished Investment Principal at Bosch Ventures affiliate office located in Sunnyvale, and sources, evaluates, and executes venture capital deals in North America. Her specialty are investments in deep tech fields such as AI, edge and next gen. computing incl. quantum, robotics, industrial IoT, mobility, climate tech, semiconductors, or sensors. She is an investor and non-executive board member of Bosch Ventures’ portfolio companies Syntiant, Zapata AI, UltraSense Systems, Aclima, and Recogni.
Prior to this position Yvonne was Director of Technology Scouting and Business Development, building up an Innovation Hub in Silicon Valley including startup scouting, business development while advising executives of the Bosch business units on their strategy. She has more than two decades of solid experience in manufacturing operations and engineering in the automotive and consumer electronics space – gained through different executive roles at Bosch in Germany.
Yvonne received a diploma in Experimental Physics from University of Siegen, Germany, and holds a PhD in Applied Physics from University of Tuebingen, Germany.

Author:

Abhijeet Gulati

Head of AI, Senior Director of AI & ML Engineering
Mitchell International

Abhijeet Gulati is the Head of AI & Senior Director of Engineering at Mitchell’s Auto Physical Damage (APD) business unit. Abhijeet is an accomplished technologist with over two decades of experience in the semiconductor, wireless, software & technology industry, focusing on AI, Machine Learning, NLP, Generative AI and SaaS solutions. He is a driven Artificial Intelligence, Advanced Analytics and business intelligence leader.

As the Head of AI at Mitchell International, Abhijeet has spent the past 5 years improving InsureTech inefficiencies, minimize decision biases, developed proprietary, differentiated enterprise scale AI products and an intelligent open platform that democratizes adoption of AI in enterprise business workflows. Abhijeet has extensive experience directing large-scale initiatives involving R&D, business & product strategy, operations, and advanced video, image and data analytics. Abhijeet has authored several patents on the application of AI in InsureTech industry. Abhijeet sits on the board of several AI standards, Ethical & Responsible AI committees.

Abhijeet Gulati

Head of AI, Senior Director of AI & ML Engineering
Mitchell International

Abhijeet Gulati is the Head of AI & Senior Director of Engineering at Mitchell’s Auto Physical Damage (APD) business unit. Abhijeet is an accomplished technologist with over two decades of experience in the semiconductor, wireless, software & technology industry, focusing on AI, Machine Learning, NLP, Generative AI and SaaS solutions. He is a driven Artificial Intelligence, Advanced Analytics and business intelligence leader.

As the Head of AI at Mitchell International, Abhijeet has spent the past 5 years improving InsureTech inefficiencies, minimize decision biases, developed proprietary, differentiated enterprise scale AI products and an intelligent open platform that democratizes adoption of AI in enterprise business workflows. Abhijeet has extensive experience directing large-scale initiatives involving R&D, business & product strategy, operations, and advanced video, image and data analytics. Abhijeet has authored several patents on the application of AI in InsureTech industry. Abhijeet sits on the board of several AI standards, Ethical & Responsible AI committees.

Author:

Gayathri Radhakrishnan

Partner
Hitachi Ventures

Gayathri is currently Partner at Hitachi Ventures. Prior to that, she was with Micron Ventures, actively investing in startups that apply AI to solve critical problems in the areas of Manufacturing, Healthcare and Automotive. She brings over 20 years of multi-disciplinary experience across product management, product marketing, corporate strategy, M&A and venture investments in large Fortune 500 companies such as Dell and Corning and in startups. She has also worked as an early stage investor at Earlybird Venture Capital, a premier European venture capital fund based in Germany. She has a Masters in EE from The Ohio State University and MBA from INSEAD in France. She is also a Kauffman Fellow - Class 16.

Gayathri Radhakrishnan

Partner
Hitachi Ventures

Gayathri is currently Partner at Hitachi Ventures. Prior to that, she was with Micron Ventures, actively investing in startups that apply AI to solve critical problems in the areas of Manufacturing, Healthcare and Automotive. She brings over 20 years of multi-disciplinary experience across product management, product marketing, corporate strategy, M&A and venture investments in large Fortune 500 companies such as Dell and Corning and in startups. She has also worked as an early stage investor at Earlybird Venture Capital, a premier European venture capital fund based in Germany. She has a Masters in EE from The Ohio State University and MBA from INSEAD in France. She is also a Kauffman Fellow - Class 16.

Author:

Michael Stewart

Partner
M12

Michael Stewart

Partner
M12

Author:

Stavros Zervoudakis

Professor at NYU, and VP of AI
Mutual of America

With over two decades of experience, Stavros Zervoudakis has established himself as a forward-thinking AI leader, sculpting the future with innovative solutions. He boasts an impressive track record, having orchestrated the successful launch of 24 AI initiatives in just three years, including the implementation of a comprehensive Data Science, Analytics, and Machine Learning framework. His work has catalyzed monumental gains, with single projects injecting between $12M and $56M in value.   Recently, Stavros has architected and deployed a groundbreaking, modular Generative AI platform, enriching the digital ecosystem with four pioneering GenAI products seamlessly integrated across six input/output systems. At the helm of his company's AI voyage, he not only crafted the strategic blueprint but also executed the firm's inaugural AI/ML model in a mere three months, netting an impressive $450K in savings.   A natural leader, Stavros has guided teams towards the creation of business-transforming applications, leveraging the latest in technology through agile, SME-centric project methodologies. His tenure as an academic luminary at NYU and the University of Exeter has allowed him to disseminate his profound AI insights, nurturing the next wave of innovation.   His journey with agile startups and industry titans like Citigroup, led him to deep-rooted understanding of regulatory mandates and has empowered him to weave essential privacy and security measures into his strategic visions, product leadership, and advisory roles, benefiting startups and Fortune 500 firms.   Beyond the digital realm, Stavros is a connoisseur of photography, an avid reader, a globetrotter, and a passionate creator of a future Einstein. Connect with him on LinkedIn to explore common interests.

Stavros Zervoudakis

Professor at NYU, and VP of AI
Mutual of America

With over two decades of experience, Stavros Zervoudakis has established himself as a forward-thinking AI leader, sculpting the future with innovative solutions. He boasts an impressive track record, having orchestrated the successful launch of 24 AI initiatives in just three years, including the implementation of a comprehensive Data Science, Analytics, and Machine Learning framework. His work has catalyzed monumental gains, with single projects injecting between $12M and $56M in value.   Recently, Stavros has architected and deployed a groundbreaking, modular Generative AI platform, enriching the digital ecosystem with four pioneering GenAI products seamlessly integrated across six input/output systems. At the helm of his company's AI voyage, he not only crafted the strategic blueprint but also executed the firm's inaugural AI/ML model in a mere three months, netting an impressive $450K in savings.   A natural leader, Stavros has guided teams towards the creation of business-transforming applications, leveraging the latest in technology through agile, SME-centric project methodologies. His tenure as an academic luminary at NYU and the University of Exeter has allowed him to disseminate his profound AI insights, nurturing the next wave of innovation.   His journey with agile startups and industry titans like Citigroup, led him to deep-rooted understanding of regulatory mandates and has empowered him to weave essential privacy and security measures into his strategic visions, product leadership, and advisory roles, benefiting startups and Fortune 500 firms.   Beyond the digital realm, Stavros is a connoisseur of photography, an avid reader, a globetrotter, and a passionate creator of a future Einstein. Connect with him on LinkedIn to explore common interests.

Author:

Rahul Sharnagat

Principal Machine Learning Engineer
Walmart Global Tech

Rahul Sharnagat is a Principal Data Scientist in Walmart's Search Technologies. He began his career at IBM research lab then worked in Microsoft Bing Ads before joining Walmart in 2018, with his expertise centering around natural language understanding (NER) and question answering. He currently leads the efforts to develop and deploy query understanding models and its application across the search stack. Rahul holds a master's degree in computer science from Indian Institute of Technology, Bombay and a bachelor's degree in computer science from Visvesvaraya National Institute of Technology, Nagpur.

Rahul Sharnagat

Principal Machine Learning Engineer
Walmart Global Tech

Rahul Sharnagat is a Principal Data Scientist in Walmart's Search Technologies. He began his career at IBM research lab then worked in Microsoft Bing Ads before joining Walmart in 2018, with his expertise centering around natural language understanding (NER) and question answering. He currently leads the efforts to develop and deploy query understanding models and its application across the search stack. Rahul holds a master's degree in computer science from Indian Institute of Technology, Bombay and a bachelor's degree in computer science from Visvesvaraya National Institute of Technology, Nagpur.

Author:

Nikesh Pahuja

App Engineer
Eximius Systems

Nikesh Kumar Pahuja currently serves as an App Engineer in a contract position at Chevron Corporation, with a primary focus on product development and Data Analytics/ Data Science / AI. With an MBA in Finance, Strategy, and Analytics from the University of California, Davis, and an MS in Analytics from Harrisburg University of Science and Technology, Mr. Pahuja brings a wealth of knowledge and expertise to his work. He is a passionate advocate for data, AI, and the creation of exceptional technological products, driven by a strong commitment to innovation and advancement.

Nikesh Pahuja

App Engineer
Eximius Systems

Nikesh Kumar Pahuja currently serves as an App Engineer in a contract position at Chevron Corporation, with a primary focus on product development and Data Analytics/ Data Science / AI. With an MBA in Finance, Strategy, and Analytics from the University of California, Davis, and an MS in Analytics from Harrisburg University of Science and Technology, Mr. Pahuja brings a wealth of knowledge and expertise to his work. He is a passionate advocate for data, AI, and the creation of exceptional technological products, driven by a strong commitment to innovation and advancement.

Author:

Mayank Anand

Machine Learning Engineering Manager
Adobe

Mayank Anand is a Machine Learning Engineering Manager at Adobe, dedicated to enhancing digital marketing with AI and machine learning. His focus lies in harnessing AI for better content creation from texts and images. Presently, he's innovating in the field of generative AI to produce smart, brand-safe content. Mayank holds a Master's in Computer Science from USC, Los Angeles.

Mayank Anand

Machine Learning Engineering Manager
Adobe

Mayank Anand is a Machine Learning Engineering Manager at Adobe, dedicated to enhancing digital marketing with AI and machine learning. His focus lies in harnessing AI for better content creation from texts and images. Presently, he's innovating in the field of generative AI to produce smart, brand-safe content. Mayank holds a Master's in Computer Science from USC, Los Angeles.

Author:

Praveen Kolli

Staff Machine Learning Engineer
DoorDash

Dr. Praveen Kolli is currently a Staff Machine Learning Engineer in the Ads Quality Team at DoorDash, where he focuses on developing advanced deep learning models to improve ad recommendations and enhance user experience. Prior to his role at DoorDash, he served as a Technical Lead in the Ads Ranking Team at Pinterest. At Pinterest, Dr. Kolli played a pivotal role in building cutting-edge models for personalized ad recommendations, contributing to the platform's success in delivering relevant ads to its users. He holds a PhD in Mathematics from Carnegie Mellon University, Masters in Mathematics of Finance from Columbia University and Bachelors in Electrical Engineering from Indian Institute of Technology, Kharagpur.

Praveen Kolli

Staff Machine Learning Engineer
DoorDash

Dr. Praveen Kolli is currently a Staff Machine Learning Engineer in the Ads Quality Team at DoorDash, where he focuses on developing advanced deep learning models to improve ad recommendations and enhance user experience. Prior to his role at DoorDash, he served as a Technical Lead in the Ads Ranking Team at Pinterest. At Pinterest, Dr. Kolli played a pivotal role in building cutting-edge models for personalized ad recommendations, contributing to the platform's success in delivering relevant ads to its users. He holds a PhD in Mathematics from Carnegie Mellon University, Masters in Mathematics of Finance from Columbia University and Bachelors in Electrical Engineering from Indian Institute of Technology, Kharagpur.

Author:

Vibhor Rastogi

Global Head AIML Data Investing
Citi Ventures

Vibhor Rastogi

Global Head AIML Data Investing
Citi Ventures

Author:

Mike Shirazi

General Partner
Pursuit Ventures

Mike Shirazi

General Partner
Pursuit Ventures

Author:

Sree Ganesan

Head of Software Products
Habana Labs

Sree Ganesan leads Software Product Management at Habana Labs, working alongside a diverse global team to deliver state-of-the-art deep learning capabilities of the Habana SynapseAI® software suite to the market. Previously, she was Engineering Director in Intel’s AI Products Group, where she was responsible for AI software strategy and deep learning framework integration for Nervana NNP AI accelerators.  Ms. Ganesan joined Intel in 2001 and has held a variety of technical and management roles in software engineering, VLSI CAD and SOC design methodology. Ms. Ganesan received a bachelor’s degree in electrical engineering from the Indian Institute of Technology Madras, India and a PhD in computer engineering from the University of Cincinnati, Ohio.

Sree Ganesan

Head of Software Products
Habana Labs

Sree Ganesan leads Software Product Management at Habana Labs, working alongside a diverse global team to deliver state-of-the-art deep learning capabilities of the Habana SynapseAI® software suite to the market. Previously, she was Engineering Director in Intel’s AI Products Group, where she was responsible for AI software strategy and deep learning framework integration for Nervana NNP AI accelerators.  Ms. Ganesan joined Intel in 2001 and has held a variety of technical and management roles in software engineering, VLSI CAD and SOC design methodology. Ms. Ganesan received a bachelor’s degree in electrical engineering from the Indian Institute of Technology Madras, India and a PhD in computer engineering from the University of Cincinnati, Ohio.

2023 SPEAKER SPOTLIGHT

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