Engineering leader. Ex-Amazon Software Development Manager (10 years, up to 34 engineers across 3 teams), most recently VP of Technology at Sigo Seguros. I build AI-native engineering organizations, and I still ship.
My focus is AI on both sides: embedding it into products (RAG, agentic systems, voice agents) and using it to transform how engineering teams build software. The projects below are shipped end-to-end with AI-assisted development, spanning systems-level C, Go services, Python AI pipelines, Swift/iOS apps, and TypeScript front-ends, with a bias toward local-first tools you can run and audit yourself.
lens — multi-agent AI audit engine, founded and built solo, live and taking paying customers.
- 200+ checks across 26 dimensions of a codebase and a live site (security, performance, reliability, supply chain, cloud cost, accessibility, SEO) — one reasoning agent per dimension, grounded in deterministic scanners, every finding cross-verified by multiple frontier models to cut false positives
- Also ships as an MCP server, so the audit runs inline in Cursor, Claude Code, or Windsurf before the PR opens
- One audit produces two reports (plain-English for founders, engineer-grade for the team), a CycloneDX/SPDX SBOM, and a prioritized fix-it roadmap
Live: lens.supersmall.ai · sample report
Panorama — turns an iPhone into a spherical-panorama camera, a modern personal rebuild of the Photosynth experience.
- Guided ARKit sweep auto-captures frames and corrects for the phone's own tracking error
- Stitches into a seamless 360° image on-device with a custom Metal GPU stitcher
- Fully local: no cloud, no accounts, no backend, nothing collected
App Store: Panorama: Spherical Camera
Kunkun — Japanese grammar-checking SaaS, built and run solo: Grammarly for Japanese.
- Context-aware corrections: politeness level, JLPT focus (N5–N1), and writer mode (learner vs. native) all shape the AI's response, with a plain-language explanation attached to every fix, not just the fix itself
- One backend, three surfaces — website, Chrome extension, Google Docs/Slides add-on — all reading live subscription state from the same API
- Go Lambda on AWS Bedrock (Claude/Nova) for inference, Firebase auth, Stripe subscriptions
Live: kunkun.io
Gaijin Smash — bilingual (EN/JA) direct-to-consumer streetwear brand: real Japanese slogans with proper cultural context, not Google Translate.
- AI content pipeline (image generation, model photography, copy) with human review as the quality gate before anything goes live
- Built solo end-to-end: storefront, checkout, CloudFront-backed asset pipeline, admin dashboard
Live: gaijin-smash.net
All four are proprietary, closed source (source not public).
| Project | What it is | Stack |
|---|---|---|
| corpus | Ask natural-language questions over your own notes, PDFs, and docs. Hybrid semantic + keyword search with auto-tuned fusion, multi-hop reference expansion, a retrieval eval harness with a CI gate, and a 7-tool MCP server for Claude Code. Storage, index, search, and re-ranking are local; embeddings call your chosen provider. pip install corpus-rag |
Python RAG MCP |
| pdfcracker | Recover passwords from your own encrypted PDFs on macOS. All encryption revisions (R2 to R6), 15+ attack modes, GPU acceleration via Metal, ARM NEON SIMD, distributed cracking. Zero dependencies. | C Metal SIMD |
| imageclust | Clusters photos by what they're about, not just how they look. CLIP ViT-L/14 embeddings, Ward hierarchical clustering, and Ollama-generated labels. Entirely on-device. | Go React CLIP |
| cleancut | Drop in a video, get back a cleaned .mp4: profanity muted, explicit scenes cut. Layered local AI stack (Whisper, Ollama, NudeNet + LLaVA, HF audio models). Every cut is auditable. |
Python Whisper Vision |
| claude-code-skills | 12 drop-in Claude Code skills for dev workflow and AWS ops. Auto-discover your AWS resources at runtime, no config files. | Tooling AWS DX |
| TPSGenerator | Java load tester for HTTP APIs: 12+ traffic patterns, lock-free HdrHistogram metrics, circuit breaker, real-time resource monitoring. Pairs with TPSGenerator-Server. | Java Concurrency |
Amazon (Software Development Manager, ~10 years), LTK, and Sigo Seguros (VP of Technology). At Sigo I led the shift to an AI-native engineering org, roughly 5x daily code output with median PR merge time down 77% and merge quality holding steady, and shipped 6 customer-facing products in 10 months on a 7-engineer team: three Spanish-language voice AI agents, WhatsApp quoting, a broker management platform connecting 15 carriers, and a customer block-list service. Conversion went from 3.5% to 12.9% and the business reached a $1M ARR run-rate.
Trilingual: English, Spanish, and Japanese (JLPT N2). Speaking on production AI agents at ELC and SuperSmall in 2026.
Find me on LinkedIn.