Srajan Garg — AI Researcher
Stackforce AI infers this person is a skilled quantitative researcher and applied scientist with experience in financial engineering.
Location: New York, New York, United States
Experience: 7 yrs
Work Experience
Microsoft
Senior Applied Scientist (5 mos)
Rippling
Senior Software Engineer (2 yrs 5 mos)
Jump Trading LLC
Quantitative Researcher (11 mos)
Quantitative Research Intern (6 mos)
Tower Research Capital
Quantitative Trader (2 yrs)
Jane Street
Software Engineering Intern (1 mo)
Microsoft
Research Intern (2 mos)
Google Summer of Code (3 mos)
Silverleaf Capital Services
Machine Learning Intern (2 mos)
Indian Institute of Technology, Bombay
Teaching Assistant for Programming Paradigms (3 mos)
Teaching Assistant for Calculus (4 mos)
Convener, Web and Coding Club (1 yr)
Education
Master of Financial Engineering (MFE) at University of California, Berkeley, Haas School of Business
Bachelor of Technology at Indian Institute of Technology, Bombay