👋 Hi, I'm Maxim Podgore

I'm a Machine Learning Engineer and AI Researcher from UCSD. Currently, I serve as the Lead Student ML Engineer at UCSD ITS, where I work on cutting-edge machine learning solutions and AI research projects.

My expertise spans across LLM development and deployment, AI research, deep learning, and Bayesian optimization. I've contributed to numerous projects ranging from static analysis tools for floating-point validation to knowledge graph systems and full-stack web applications.

Featured Projects

• dReal-clang-tidy: C++ static analysis tool using graph-based solvers over LLVM ASTs for floating-point rounding mode validation
• RippleEdits: Extended benchmark for evaluating knowledge editing effects in RAG systems for SingularityNET's graphRAG
• Groundwork Books: Full-stack Next.js website with Redis caching, Pinecone search, and modern styling
• TuRBO-O: Enhanced Turbo Algorithm with Deep Kernel Learning and Upper Confidence Bound for improved exploration/exploitation
• Blackjack AI: Reinforcement learning agent using Monte Carlo, TD, and Q-Learning with real-time visualizations

Check out my blog for detailed project write-ups, or visit my about page to learn more about my background and experience.

I'm always open to collaboration on new projects. Feel free to reach out through LinkedIn or GitHub.