Dr. Subramanian has been at the forefront of driving revolutionary advancements in Machine Learning (ML) and Artificial Intelligence that resonate with businesses and researchers alike. With a PhD in Aerospace Engineering from Purdue University, Dr. Subramanian currently serves as a Principal Data Scientist at Amazon, a position held by less than 30 people worldwide. His prolific research record includes 26 academic papers and 4 patents, with 84 citations to date. With a rich and extensive career, he has championed the development and application of ML models while carving a distinct leadership path within AWS. His achievements span from ML use cases in core verticals including manufacturing, aerospace, automotive, financial services and healthcare, to core artificial intelligence research. Particularly noteworthy is his role as the creator of an open-source ML package ezsmdeploy, which has garnered over 50,000 downloads so far. The two books he has authored in the field of AI have 1000s of copies sold, with the latest book on “Applied Machine Learning and High-Performance Computing” being one of the top 50 books on artificial intelligence sold on Amazon to date. Most recently, Dr. Subramanian is involved in helping train Generative Large Language Models like ChatGPT for customers of Amazon Web Services in a cost-efficient way. This speaks volumes about his influence in democratizing ML and fostering a community of practitioners.

Dr. Subramanian's PhD dissertation focused on developing algorithms for complex aerospace systems design problems. Since then, he has published several seminal papers on topics like evolutionary algorithms, surrogate modeling, and distributed optimization, Deep Learning and language modeling. Dr. Subramanian’s comprehensive expertise extends to academia and industry, where he has served as a reviewer for prominent journals and conferences, contributing to the academic discourse. Notably, his dedication shines through in his instrumental role as a judge, session chair, and invited panel member at various academic conferences, amplifying his commitment to knowledge dissemination. Recently, Dr. Subramanian won the best presentation award at the Pattern Recognition and Machine Learning 2023 conference for his work on a novel scheduler for faster language model training. He has also been an invited judge and session chair for major conferences like IEEE, INFORMS, and AIAA. To date, he has reviewed over 35 papers and several research proposals. Dr. Subramanian's research has attracted significant interest from government funding agencies. He was invited to serve on 5 NSF review panels on Artifical Intelligence to evaluate proposals worth up to $2 million in Small Business Innovation Research grants for startups and small businesses. One of Dr. Subramanian's significant contributions lies in his ability to secure funding for pioneering projects in topics related to applied Machine learning. His skill in proposal writing secured over $4.6 million in funding from NASA while he was the Director of Research at a NASA subcontractor, underscoring his acumen in translating ideas into actionable projects that garner support from prestigious institutions. With elite academic credentials and impactful real-world contributions, Dr. Subramanian exemplifies leadership in the AI research community. He was recently nominated and selected to be an IEEE Senior Member, a distinction held by only 8% of IEEE's over 400,000 members worldwide.

In his current role as a Principal Data Scientist at Amazon, Dr. Subramanian's contributions have transcended the conventional boundaries of AI and ML. His leadership and expertise have led to substantial cost savings for numerous businesses. His efforts in architecting, building, and scaling large ML models have resulted in remarkable annual savings of hundreds of thousands of dollars for clients. Moreover, his guidance has led to the success of end-to-end Advanced Driver Assistance Systems (ADAS) and self-driving car projects, underpinning the vital intersection of ML and automotive technology. At Amazon, Dr. Subramanian leads a team of machine learning solutions architects and researchers across several projects. Internally at Amazon, several of his ideas have been incorporated into new product features for Amazon's machine learning services. Dr. Subramanian has helped dozens of major companies in manufacturing, aerospace, automotive, transportation, and logistics improve their operations using AI and optimization techniques. His profound impact on optimizing costs for large enterprises is particularly notable. By identifying areas of cost optimization within Machine Learning operations, Dr. Subramanian has collectively saved millions of dollars for clients. For example, he reduced production costs by 8% per quarter for one of the world's largest contract manufacturers, resulting in millions in savings. His cost optimization work has saved customers hundreds of thousands of dollars in expenses. In another instance, Dr. Subramanian reduced the cost of tuning large number of models for a customer by over 99%, from 100s of 1000s of dollars per year to 10s of dollars.

Dr. Subramanian's journey through the world of technology, innovation, and leadership at AWS paints a portrait of a dynamic individual whose contributions extend beyond research and technical expertise. His proficiency in ML, profound impact on cost optimization, and ability to secure substantial funding for groundbreaking projects demonstrate a multi-faceted professional who shapes the present and future of technology-driven industries.

He continues publishing cutting-edge papers, filing high-value patents, writing insightful books, and speaking at major conferences. With his unique ability to bridge theory and practice, Dr. Subramanian is poised to continue breaking new ground in AI and optimization for years to come.

Dr. Subramanian has been at the forefront of driving revolutionary advancements in Machine Learning (ML) and Artificial Intelligence that resonate with businesses and researchers alike. With a PhD in Aerospace Engineering from Purdue University, Dr. Subramanian currently serves as a Principal Data Scientist at Amazon, a position held by less than 30 people worldwide. His prolific research record includes 26 academic papers and 4 patents, with 84 citations to date. With a rich and extensive career, he has championed the development and application of ML models while carving a distinct leadership path within AWS. His achievements span from ML use cases in core verticals including manufacturing, aerospace, automotive, financial services and healthcare, to core artificial intelligence research. Particularly noteworthy is his role as the creator of an open-source ML package ezsmdeploy, which has garnered over 50,000 downloads so far. The two books he has authored in the field of AI have 1000s of copies sold, with the latest book on “Applied Machine Learning and High-Performance Computing” being one of the top 50 books on artificial intelligence sold on Amazon to date. Most recently, Dr. Subramanian is involved in helping train Generative Large Language Models like ChatGPT for customers of Amazon Web Services in a cost-efficient way. This speaks volumes about his influence in democratizing ML and fostering a community of practitioners.

Dr. Subramanian's PhD dissertation focused on developing algorithms for complex aerospace systems design problems. Since then, he has published several seminal papers on topics like evolutionary algorithms, surrogate modeling, and distributed optimization, Deep Learning and language modeling. Dr. Subramanian’s comprehensive expertise extends to academia and industry, where he has served as a reviewer for prominent journals and conferences, contributing to the academic discourse. Notably, his dedication shines through in his instrumental role as a judge, session chair, and invited panel member at various academic conferences, amplifying his commitment to knowledge dissemination. Recently, Dr. Subramanian won the best presentation award at the Pattern Recognition and Machine Learning 2023 conference for his work on a novel scheduler for faster language model training. He has also been an invited judge and session chair for major conferences like IEEE, INFORMS, and AIAA. To date, he has reviewed over 35 papers and several research proposals. Dr. Subramanian's research has attracted significant interest from government funding agencies. He was invited to serve on 5 NSF review panels on Artifical Intelligence to evaluate proposals worth up to $2 million in Small Business Innovation Research grants for startups and small businesses. One of Dr. Subramanian's significant contributions lies in his ability to secure funding for pioneering projects in topics related to applied Machine learning. His skill in proposal writing secured over $4.6 million in funding from NASA while he was the Director of Research at a NASA subcontractor, underscoring his acumen in translating ideas into actionable projects that garner support from prestigious institutions. With elite academic credentials and impactful real-world contributions, Dr. Subramanian exemplifies leadership in the AI research community. He was recently nominated and selected to be an IEEE Senior Member, a distinction held by only 8% of IEEE's over 400,000 members worldwide.

In his current role as a Principal Data Scientist at Amazon, Dr. Subramanian's contributions have transcended the conventional boundaries of AI and ML. His leadership and expertise have led to substantial cost savings for numerous businesses. His efforts in architecting, building, and scaling large ML models have resulted in remarkable annual savings of hundreds of thousands of dollars for clients. Moreover, his guidance has led to the success of end-to-end Advanced Driver Assistance Systems (ADAS) and self-driving car projects, underpinning the vital intersection of ML and automotive technology. At Amazon, Dr. Subramanian leads a team of machine learning solutions architects and researchers across several projects. Internally at Amazon, several of his ideas have been incorporated into new product features for Amazon's machine learning services. Dr. Subramanian has helped dozens of major companies in manufacturing, aerospace, automotive, transportation, and logistics improve their operations using AI and optimization techniques. His profound impact on optimizing costs for large enterprises is particularly notable. By identifying areas of cost optimization within Machine Learning operations, Dr. Subramanian has collectively saved millions of dollars for clients. For example, he reduced production costs by 8% per quarter for one of the world's largest contract manufacturers, resulting in millions in savings. His cost optimization work has saved customers hundreds of thousands of dollars in expenses. In another instance, Dr. Subramanian reduced the cost of tuning large number of models for a customer by over 99%, from 100s of 1000s of dollars per year to 10s of dollars.

Dr. Subramanian's journey through the world of technology, innovation, and leadership at AWS paints a portrait of a dynamic individual whose contributions extend beyond research and technical expertise. His proficiency in ML, profound impact on cost optimization, and ability to secure substantial funding for groundbreaking projects demonstrate a multi-faceted professional who shapes the present and future of technology-driven industries.

He continues publishing cutting-edge papers, filing high-value patents, writing insightful books, and speaking at major conferences. With his unique ability to bridge theory and practice, Dr. Subramanian is poised to continue breaking new ground in AI and optimization for years to come.