What I Build
Building retrieval systems that surface the right context at the right time.
Multi-agent workflows with LangGraph, Autogen, and custom frameworks.
Connecting LLMs to APIs, databases, and external systems.
Building metrics and benchmarks to measure AI system performance.
Customizing models for domain-specific tasks and behaviors.
Shipping AI systems that scale reliably in production environments.
Systems & Solutions
Valuation workstreams were trapped in one interface, so analysts could not run the same agentic analysis from the tools they already used — Slack, a custom UI, or Claude Desktop.
Users were frustrated by the 'tab fatigue' of booking flights, hotels, and activities across different sites.
Surgeons spent 2+ hours daily on post-op documentation, leading to burnout and delayed billing cycles.
Financial analysis lived in separate databases, vendor APIs, and charting tools, so answering a question meant stitching those sources together by hand.
Manual inspection of physical device labels and components led to 2% non-compliance, risking FDA audits and costly recalls.
Underwriters had to manually navigate 15+ legacy government portals to verify policyholder data, causing a massive bottleneck in the quote-to-bind funnel.
The client needed to audit thousands of unstructured ESG reports to identify high-risk investments, a process previously requiring weeks of manual analyst labor.
SRE teams were overwhelmed by alert fatigue from thousands of non-critical logs, missing actual root causes during production outages.
Engineering managers were losing 10+ hours a week to manual backlog grooming and identifying blockers across fragmented Slack and Jira threads.
Where I Show Up
I present at DEVx's AI paper club — a presenter-led deep dive into papers that matter for building systems.
Recent talkI host a monthly AI Happy Hour at North Park Beer Co. Each month I pick an optional discussion theme — recent ones include inference chips, LLMWiki, and rising token costs.
View on EventshipTools I Work With
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