Applied AI · ML Systems · Backend · Search · Infrastructure
I build production software across AI applications, inference & model serving, search/ranking, and backend systems.
Python C++ Go Java TypeScript SQL
Contributing to:
vLLM · GuideLLM · OpenSearch k-NN · Kubernetes · EF Core · PyTorch
Recent work includes inference correctness, benchmarking, vector search, Kubernetes API performance, and query translation.
| Project | What it is |
|---|---|
| adduce | ML-assisted analysis for tracing and validating research claims against code, configs, data, dependencies, and results |
| CineMatch | Grounded AI recommendation agent over hybrid retrieval and learned ranking |
| Anytime Inference Planner | Deadline-aware ML serving with continuous batching and adaptive admission |
| SemanticSearch | Hybrid semantic + keyword retrieval with filtering, caching, and ranking evaluation |
| Execution Copilot | Market execution simulator for testing execution strategies under different latency and venue conditions |
Stack
Languages: Python, C++, Go, Java, TypeScript, SQL
AI / ML: PyTorch, ONNX Runtime, Transformers, RAG, tool calling, LightGBM
Data / Search: PostgreSQL, pgvector, OpenSearch, Elasticsearch, Redis, HNSW
Systems: AWS, GCP, Docker, Kubernetes, gRPC, Kafka

