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Vijay Saraswat
Head, GenAI
Vijay Saraswat is a seasoned professional in the field of artificial intelligence and data science, currently serving as the Head of Data and Insights at Fidelity Investments.1 His career spans several decades and includes notable positions at major technology and financial companies.
Career Highlights
Current Roles::
- Head of Data and Insights at Fidelity Investments (since June 2023)1
- Founder of Language Machines (since May 2023)1
Previous Experience::
- Managing Director at Goldman Sachs (2020-2023)1
- VP and Technology Fellow at Goldman Sachs (2017-2020)1
- Research Staff Member at IBM (2003-2017)1
- Chief Scientist roles at IBM in Deep Compliance and Computing as a Service Research Division1
- Professor at Penn State University (2002-2003)1
- VP of Engineering at Kirusa (2001-2002)1
- Chief Technology Officer at Vayusphere (2000-2001)1
- Research Staff Member at AT&T (1996-2000)1
- Research Staff Member at PARC, a Xerox Company (1987-1996)1
Education
Vijay Saraswat holds a Ph.D. from Carnegie Mellon University (1982-1989) and a B.Tech from IIT Kanpur (1977-1982).1
Expertise and Interests
Saraswat's work focuses on building interaction systems that understand professional domains. He has expressed particular interest in the recent developments in large language models and their potential applications in various professional fields such as finance, law, accounting, medicine, engineering, and science.1
Awards and Recognition
Throughout his career, Saraswat has received several awards and recognitions, including:
- HPC Challenge Type II awards for Best Performance and Most Productive Implementation (2008, 2009)1
- Best paper in 20 years in the area of Concurrent Constraint Programming (2009)1
- IBM Outstanding Technical Achievement Award (2008)1
Vijay Saraswat's extensive experience in research, academia, and industry positions him as a leading figure in the field of artificial intelligence and its applications in professional domains.
Highlights
Looking for a talented individual to head up the ML team in our GenAI effort in Asset Management at Fidelity! You are a seasoned scientist with a deep understanding of GenAI, and a burning desire to unlock its mysteries in the context of a professional domain such as finance. You are excited about this once-in-a-lifetime opportunity to completely rethink the foundations of your discipline (Computer Science, AI, Finance). You are at home in an applied technical group conceiving of, building and delivering first-of-a-kind knowledge-based applications. You have excellent collaboration skills and revel in working as part of a team to solve deep applied problems.
Apply on the Fidelity site, and/or write to me here.
Now things are becoming interesting, almost magical. Combine LLMs with search, in (usually well-defined) domains where answers can be verified. In the line of work initiated by AlphaCode — automated, LLMs as generators at the core, at-scale search for functions ( “FunSearch”). Here, a solution to a (previously unsolved) mathematical problem in combinatorics whose interestingness Terrence Tao attests to — the cap set problem.
In my 2015 IBM Res slides on future capabilities for AI systems, doing new math was near the top. Now there are interesting, credible approaches to this grand challenge.
With applications all over the place. Including finance…
