Vedant Kumud — AI Researcher
Studying CS at Berkeley. Interested in machine learning (reinforcement learning, nlp), algorithms, low-latency optimization, and high-frequency trading.
Stackforce AI infers this person is a Fintech-focused quantitative researcher with strong algorithmic and machine learning skills.
Location: Pleasanton, California, United States
Experience: 2 yrs 7 mos
Career Highlights
- Strong academic background in Computer Science with a 3.98 GPA.
- Experience in quantitative research and algorithm development.
- Internships at leading trading firms focusing on high-frequency trading.
Work Experience
Citadel
Quantitative Researcher (7 mos)
Hudson River Trading
Algo Dev Intern (3 mos)
Jump Trading LLC
Quant Research Intern (2 mos)
Voyager Consulting
Consultant (10 mos)
UC Berkeley Electrical Engineering & Computer Sciences (EECS)
Course Staff (3 yrs 3 mos)
The Voleon Group
Software Engineer Intern (3 mos)
Computer Science Mentors
Computer Science Mentor (8 mos)
EduAvenues
Private Tutor (3 mos)
Education
Bachelor of Arts - BA at University of California, Berkeley
at Amador Valley High School