On LearningCircuit/local-deep-research, I contributed four merged pull requests covering lazy loading, ZIP-bomb preflight validation, process isolation, and concurrency controls. My changes reduced isolated worker memory use by about 80% and startup latency by about 45%, and I added more than 118 security and concurrency regression tests.
I built MindCache, an open-source long-term memory engine that organizes conversations into persistent memories and combines dense search with BM25 retrieval. It achieved 1.08-second average retrieval latency, and its BEAM evaluation showed stronger summarization and multi-session reasoning than Mem0.
I also built Product Comparator, a Transformer-based system for hierarchical aspect-based opinion mining, and optimized CPU inference with ONNX Runtime. My work focuses on open-source LLM, RAG, and NLP infrastructure, including memory architecture, retrieval latency, concurrency control, and runtime security.
