Senior Software Engineer with 7+ years building full-stack enterprise systems at scale, now going deep on AI engineering.

I architect C#/.NET applications that process trillions in historical data. I'm channeling that enterprise engineering discipline into modern AI: RAG pipelines, multi-agent workflows, MCP tooling, and local LLM inference on my NVIDIA DGX Spark.

DriftWatch (in progress — building in public) — An end-to-end MLOps pipeline that predicts equipment failure from sensor time-series and, more importantly, stays healthy after deployment: MLflow experiment tracking and registry, DVC-versioned data, GitHub Actions CI/CD to an Azure ML endpoint, and Evidently drift monitoring wired to an automated retrain trigger. The thesis: the model is 20% of an ML system — this project is the other 80%.

Up next — MCP toolkit and DGX Spark benchmarks.

AgentReview — Multi-agent code review in C#/.NET 10, demo now live at agentreview.vondraysanford.com. An orchestrator fans a PR diff out to quality, security, and docs agents that call real tools (Roslyn, Semgrep, GitHub) through MCP, then synthesizes one ranked review. Measured results: 100% precision and human agreement, 17/18 planted-bug recall, $0.068 per review, all traced with OpenTelemetry. Proof that sophisticated agentic patterns work reliably in the .NET ecosystem — not just Python.

DocQuery — A local-first RAG application for querying documents in natural language, built in public with C#/.NET 10 and React. Phases 1–4 complete with a demo now live at docquery.vondraysanford.com; Phase 5 turns it into a daily study tool.

Twitter Sentiment Analysis Bot — A shipped Python ML pipeline that classifies tweet sentiment and detects automated accounts with an XGBoost model (0.89 ROC AUC on 10K+ accounts), served through an interactive Discord bot. Includes RSA-signed model integrity checks and a full collection-to-deployment data pipeline.

Up next — MCP toolkit and DGX Spark benchmarks.

• MonoGame (14K+ ⭐) — Authored XML API documentation for the GraphicsAdapter and Album classes across 2 PRs — both merged (Aug 2026)
• Cataclysm-DDA (13K+ ⭐) — Fixed the solar cell's implausible half-meter longest_side and added looks_like sprite fallbacks for the Xedra Evolved dream weapons across 2 PRs — both merged (Aug 2026)
• Kana-Dojo (3.2K+ ⭐) — Standardized the Japan trivia answer format to support multiple accepted answers and added a「〜ても」grammar entry across 2 PRs — both merged (Aug 2026)
• KodeKloud AI-102 — Submitted a security fix replacing hardcoded Azure credentials with placeholders in a public course code sample (open, awaiting review)

Languages: C#, TypeScript, JavaScript, Python, T-SQL, HTML/CSS

Frameworks: .NET Core, ASP.NET, React, React Native, Node.js, Entity Framework

Databases: SQL Server, PostgreSQL, MySQL, Redis

Cloud & DevOps: Azure, Docker, Kubernetes, CI/CD, Azure DevOps, Argo

AI & ML: Azure AI Services, Ollama, RAG Pipelines, LLM Integration, Claude Code, GitHub Copilot, MCP, Prompt Engineering

Hardware: NVIDIA DGX Spark (local inference and fine-tuning)

📖 Machine Learning Operations Engineer Associate (AI-300) — In Progress

• Studying for the AI-300 (Microsoft Machine Learning Operations Engineer Associate) — operationalizing ML and generative AI solutions on Azure
• Building DriftWatch in public — training, deploying, and monitoring an ML pipeline on Azure with CI/CD, drift detection, and automated retraining
• Running local LLM inference and fine-tuning experiments on DGX Spark
• Sharing what I learn at vondraysanford.com and on LinkedIn