Naman Talreja
Incoming @ Hudson River Trading
About
Interested in Quantitative Research/Development, ML, Tech and Startups.
United States
San Francisco
Higher Education
LLM Inference, LMCache, Generative AI, Cloud Computing, Technical Project Leadership, Systems Design, Website Building, Model Training, Retrieval-Augmented Generation (RAG), End-to-End Project Management, Full-Stack Development, React.js, MongoDB, Amazon Web Services (AWS), Full stack, Large Language Models (LLM), Exploratory Data Analysis, AI Solutions, Code Review, Teamwork
Experience
Incoming
Hudson River Trading
New York, New York, United States
Summer 2026
Member of Technical Staff
Cartesia
San Francisco, California, United States
Preference Alignment, SSMs & Voice AI🎙️
Venture Capital Fellow
Comma Capital
New York, New York, United States
Investing & GTM 🎬
Software Development Engineer
Amazon
Boston, Massachusetts, United States
AI/ML, Distributed Systems & Robotics 👾
Cultivate & Amplify Fellow
Atlanta, Georgia, United States
Met some of the creators of Gemini 👨🔬
Teaching Assistant - CS2050 (Discrete Mathematics)
College of Computing at Georgia Tech
Atlanta, Georgia, United States
Teaching 600+ Students Algorithms 👨🏫
Researcher - Deep Learning Lab
College of Computing at Georgia Tech
Atlanta, Georgia, United States
Lightweight CNNs for Complex Tasks 🦅
Researcher - High Performance Architecture Lab
College of Computing at Georgia Tech
Atlanta, Georgia, United States
Analog Machine Learning for Fast Inference 🤖
Machine Learning Project Lead
Big Data Big Impact @ Georgia Tech
Atlanta, GA
SmartPathAI 💡
AI/ML Researcher
Georgia Tech VIP Program
Atlanta, Georgia, United States
Spaced Repetition & A.I. MakerSpace RAG Chatbot 💬
Machine Learning Engineer
Shepherd
Chicago, Illinois, United States
LLM Inference & Agents 🕵️
Artificial Intelligence Project Lead
AI at Georgia Tech
Atlanta, Georgia, United States
Georgia Tech R.A.G. ChatBot 🏫
Education
Georgia Institute of Technology
Computer Science
Aditya Birla World Academy
Telora
Startup fellowship for ambitious hackers. One of 6 funded teams selected from 900+ applicants. Building...
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