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Founder & CEO of Elystar Investment Management | IIT Kharagpur | PhD | CFA
Satya Gautam Vadlamudi, PhD, CFA, is the Founder and CEO of Elystar Investment Management, a SEBI-registered, innovation-driven wealth advisory firm empowering families and institutions to build and sustain multi-generational financial security. Education: Dr. Vadlamudi is an alumnus of both the Indian Institute of Technology (IIT) Kharagpur and Harvard University. He earned his B.Tech. (Hons.) and Ph.D. in Computer Science and Artificial Intelligence (AI) from IIT Kharagpur, and completed the Senior Executive Leadership Program at Harvard Business School. Dr. Vadlamudi is also a CFA® charterholder (Chartered Financial Analyst) and holds the CIPM® designation (Certificate In Investment Performance Measurement) from the CFA Institute, USA. In addition, he holds the Portfolio Managers Certification, the Alternative Investment Fund Managers Certification, and the Investment Adviser Certifications from the National Institute of Securities Markets (NISM), India. Work Experience: Dr. Vadlamudi has held leadership roles, including Vice President and Head of Data Science & Artificial Intelligence at Prefr, where his team developed award-winning AI products for credit inclusion and risk assessment. He also led the Data Science division at Capillary Technologies, launching AI-powered analytics and personalized recommender systems. His earlier roles include Postdoctoral Researcher at Arizona State University, Software Engineer at Google, and Research Scientist at Intel Labs. Research: He has been granted multiple patents for his innovations, and has published several peer-reviewed articles in top international research forums. His contributions span AI state-space search, combinatorial search, diverse solution generation, explainable AI, parallel computing, fault-tolerance analysis, and dependable systems, with novel applications in spatio-temporal data mining, cybersecuri
Indian Institute of Technology, Kharagpur
Doctor of Philosophy (Ph.D.), Artificial Intelligence
January 1, 2009 – January 1, 2014
Indian Institute of Technology, Kharagpur
B.Tech.(Hons.), Computer Science and Engineering
January 1, 2004 – January 1, 2008
Elystar Investment Management
Founder & CEO
November 1, 2021 – Present
Mumbai, Maharashtra, India
Elystar LLP
Founding Partner, CEO
August 1, 2020 – October 1, 2021
Prefr
VP—Data Science & Artificial Intelligence
December 1, 2017 – February 1, 2020
Greater Hyderabad Area
Capillary Technologies
Principal Data Scientist
February 1, 2017 – December 1, 2017
Bengaluru, Karnataka, India
Capillary Technologies
Lead, Data Scientist
July 1, 2016 – January 1, 2017
Bengaluru, Karnataka, India
Arizona State University
Postdoctoral Research Assistant
April 1, 2015 – June 1, 2016
Tempe
Intel Corporation
Research Scientist
September 1, 2013 – January 1, 2015
Bengaluru, Karnataka, India
Indian Institute of Technology, Kharagpur
Research Consultant, Xerox Project
August 1, 2010 – December 1, 2012
Indian Institute of Technology, Kharagpur
Research Consultant, General Motors Project
August 1, 2009 – December 1, 2012
Software Engineer
June 1, 2008 – July 1, 2009
Greater Bengaluru Area
Georgia Institute of Technology
Summer Research Intern
May 1, 2007 – July 1, 2007
Atlanta Metropolitan Area
Managing Social and Human Capital by Prof. Michael Useem & Prof. Peter Cappelli, Wharton School, University of Pennsylvania
Coursera
June 24, 2026 – Present
Machine Learning by Dr. Andrew Ng, Stanford University. Grade Achieved: 100.0%
Coursera
June 24, 2026 – Present
Functional Programming Principles in Scala by Prof. Martin Odersky, École Polytechnique Fédérale de Lausanne. Grade Achieved: 100.0%
Coursera
June 24, 2026 – Present
Introduction to Recommender Systems by Prof. Joseph A. Konstan & Dr. Michael D. Ekstrand, University of Minnesota. Grade Achieved: 100.0%
Coursera
June 24, 2026 – Present
Probabilistic Graphical Models 1: Representation by Prof. Daphne Koller, Stanford University. Grade Achieved: 100.0%
Coursera
June 24, 2026 – Present
Neural Networks for Machine Learning by Prof. Geoffrey Hinton, University of Toronto. Grade Achieved: 100.0%
Coursera
June 24, 2026 – Present
Deep Learning Specialization by Dr. Andrew Ng, deeplearning.ai. Grade Achieved: 100.0%
Coursera
June 24, 2026 – Present
Introduction to Financial Accounting by Prof. Brian J. Bushee, Wharton School, University of Pennsylvania. Grade Achieved: 100.0%
Coursera
June 24, 2026 – Present
Introduction to Corporate Finance by Prof. Michael R. Roberts, Wharton School, University of Pennsylvania. Grade Achieved: 100.0%
Coursera
June 24, 2026 – Present
Introduction to Marketing by Prof. Barbara E. Kahn, Prof. Peter Fader, Prof. David R. Bell, Wharton School, University of Pennsylvania
Coursera
June 24, 2026 – Present
Chartered Financial Analyst (CFA)
CFA Institute
June 24, 2026 – Present
Introduction to Operations Management by Prof. Christian Terwiesch, Wharton School, University of Pennsylvania
Coursera
June 24, 2026 – Present
AI For Everyone by Dr. Andrew Ng, Stanford University, deeplearning.ai
Coursera
June 24, 2026 – Present
NISM-Series-X-A: Investment Adviser (Level 1 of 2)
National Institute of Securities Markets (NISM)
June 24, 2026 – Present
NISM-Series-X-B: Investment Adviser (Level 2 of 2)
National Institute of Securities Markets (NISM)
June 24, 2026 – Present
NISM-Series-XV: Research Analyst
National Institute of Securities Markets (NISM)
June 24, 2026 – Present
The Fundamentals of Digital Marketing
Google Digital Garage
June 24, 2026 – Present
Certificate in Investment Performance Measurement (CIPM)
CFA Institute
June 24, 2026 – Present
NISM-Series-XIX-C: Alternative Investment Fund Managers Certification
National Institute of Securities Markets (NISM)
June 24, 2026 – Present
Senior Executive Leadership Program
Harvard Business School Executive Education
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning academic research, large corporations (Google, Intel), startups (Prefr, Capillary), and founding their own investment management firms. This demonstrates adaptability and a willingness to take on varied challenges. However, the recent focus on financial advisory and investment management, while showcasing leadership and business development, might indicate a shift in career interests away from hands-on Big Data Engineering. The target role of 'Big Data Engineer' requires a strong focus on data infrastructure, pipelines, and distributed systems, which is not explicitly detailed in recent experiences. The extensive certifications in finance further support this potential shift.
Soft Skills & Operational Fit
The candidate's career progression from research scientist to VP of Data Science and then to Founder/CEO roles suggests strong leadership, strategic thinking, and entrepreneurial drive. Experience in mentoring and reviewing academic work indicates good communication and collaboration skills. The shift towards financial management roles might indicate a broader business acumen, but also a potential deviation from a purely technical Big Data Engineer role.