Building
A mix of public, internal, and personal projects — most lean on AI to make a hard problem easier.
100% offline, ML-augmented Linux log triage powered by a local Llama 3.1.
Upload a .tgz of system logs and (optionally) a source-code path. The tool extracts log templates with Drain3, flags anomalies with Isolation Forest + LOF, runs cross-log time-series correlation, then asks Llama 3.1 (8B, via Ollama) to summarise root cause, severity, and next steps — with code snippets pulled in from the matching files. Built so nothing leaves your machine.
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Paste a YouTube or audio URL, get a tight summary plus three actionable insights.
Web app that downloads media, transcribes it via FFmpeg + Whisper, and summarises with GPT-4o-mini. Designed for podcast and lecture binge-watching — turns a 90-minute conversation into something you can actually act on in two minutes.
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Personal health dashboard fusing lab reports with wearable data.
Full-stack app that ingests blood-test PDFs (parsed via OpenAI), syncs Pixel Watch / Google Fit metrics, stores everything in Postgres, and renders trends in React + Recharts. Flags out-of-range values and surfaces AI-generated insights across reports.
Local project — happy to demo.
This site. Next.js 16 + live data pulls from my library and Spotify.
Built in a weekend. Pages are static at the edge but powered by build-time scripts that fetch SCCLD borrowing history (cover art enriched from Open Library and Google Books) and Spotify saved shows (artwork from iTunes). A daily Vercel cron triggers a redeploy so books and podcasts stay fresh without me touching the repo.
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Compresses multi-hour firmware triage workflows into minutes.
Internal tool that ingests firmware logs and test artifacts, auto-detects anomalies with classical ML, and uses an LLM to generate debugging insights and reproduction steps. Replaces what used to be a slow, manual triage workflow on every fleet incident. Adopted broadly across the team alongside an internal Copilot rollout I championed (100% team adoption).
Repo private. Happy to walk through it in person.