Work
Research Experience.
My work focuses on building and improving reinforcement learning systems, efficient computing models, and real-world applications of AI. I am passionate about reinforcement learning, efficient algorithms, and scalable automation, working across AI, robotics, and full-stack development.
Selected research and technical contributions are listed below.
Improving Reinforcement Learning Algorithms for Robotics Applications with C++ on High-Performance Computing Clusters
Adi Singh, Jan Christian Meyer
PhD Research Collaboration, Department of Computer Science, In Progress (2025)
MuZero Reinforcement Learning System: Implementation and Optimization
Adi Singh, Cogito NTNU
Building MuZero from scratch, In Progress (2025)
AI-Based Matchmaking (CatMatch): A Novel Convolutional Neural Network Approach to Preference Learning
Adi Singh, Cogito NTNU
AI Tinder training algorithm using CNN, Proceedings of the Student Project at Cogito (2023)
Cost-Efficient Treatment Methods for Hydrocephalus: Data Analysis and Optimization
Adi Singh
MIT Biogen Community Lab, Journal of Medical Research & Innovation (2022)
Education.
Master's/PhD Level:
Computer Vision and Deep Learning, Methods in Artificial Intelligence, Advanced Parallel Computing, Network Programming & Security
Bachelor's Level:
Engineering Statistics, Linear Algebra, Procedural & Object-Oriented Programming, Control Theory (1+2)
Awards & Recognition.
Meta Generative AI Hackathon — 4th Place, 2025
Jane Street Estimathon — 1st Place, 2024
Start Code Hackathon — 2nd Place, 2024
TripleTex Hackathon — Finalist, 2024
Building 15,000+ Follower ML Channel — 2024
EECS Representative — 2024-Present
Advanced Math Scholar — Virginia Richmond
High School Representative — 2021
Projects.
TheLocalLlama
Created an AI-powered local guide application for Meta at the Cerebral Valley Hackathon for localsearch and use of Llama3.3.
@ Meta Hackathon, Oslo, February 2025 - GitHub
PlanetLens
Developed a satellite imagery analysis platform for the United Nations to monitor environmental changes and support sustainable development goals.
@ START Hack EU, Switzerland, March 2025 - Project Link
Built a simplified implementation of AlphaZero for Connect Four using Monte Carlo Tree Search and neural networks, with an interactive web interface.
@ Spark* Business School 2024
Scaled a satellite startup, managing sponsor relationships and securing major funding while bridging technical and non-technical teams.
@ Orbit NTNU, 2023-2024