projects

Selected work in agent systems, LLM inference, model serving, retrieval, and applied machine learning.

Projects and professional case studies spanning human-in-the-loop agents, MCP-integrated workflows, inference systems, quantization, retrieval, and applied machine learning — from architecture through evaluation and deployment.

Model Serving

QuantRoute

Quantization-aware inference router that trades precision, latency, and cost across multi-precision serving lanes.

vLLM, llm-compressor, AWQ, GPTQ, NVIDIA A100

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Retrieval and MLOps

MultiDocChat

Production retrieval-augmented generation service with tracing and GitOps deployment.

FastAPI, LangChain, FAISS, Kubernetes, ArgoCD

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Applied Machine Learning

Probabilistic Yard Gain Forecasting

Calibrated play-outcome modeling from NFL tracking data, framed as a full cumulative distribution rather than a point estimate.

Python, Scikit-learn, XGBoost, Pandas, NumPy, Flask

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