Ritesh Noothigattu — AI Researcher
I worked as an Algo Developer in the FX team at Hudson River Trading, where I was responsible for building and maintaining the machine learning models used for our trading. Before that, I completed my PhD from the Machine Learning Department at Carnegie Mellon University, where I worked on problems at the intersection of Machine Learning and Game Theory / Multiagent Preferences. I briefly joined the Sales Operations team at Verkada as a Machine Learning & Data Engineer in Feb 2023, and I will be joining as an Applied Scientist at Uber in Apr 2024.
Stackforce AI infers this person is a Fintech expert with a strong focus on machine learning and quantitative finance.
Location: San Francisco, California, United States
Experience: 5 yrs 4 mos
Skills
- Data Science
- Quantitative Finance
- Machine Learning
- Artificial Intelligence
Career Highlights
- PhD in Machine Learning from Carnegie Mellon University.
- Expertise in developing machine learning models for trading.
- Upcoming role as Applied Scientist at Uber.
Work Experience
Uber
Applied Scientist (2 yrs 2 mos)
Verkada
Machine Learning & Data Engineer (1 yr 1 mo)
Hudson River Trading
Garden Leave (1 yr 6 mos)
Algorithm Developer (Quant) (1 yr 10 mos)
Software Engineering Intern (2 mos)
IBM
Research Intern (3 mos)
Adobe
Research Intern (2 mos)
Education
Doctor of Philosophy (Ph.D.) at Carnegie Mellon University
Bachelor of Technology (B.Tech.) at Indian Institute of Technology, Delhi
