The tools, techniques, and frameworks I work with day to day, across AI/ML, product, and a self-hosted engineering stack.
AI & ML
Multi-agent orchestration · agentic task planning · LLM evaluation & benchmarking · RAG · LoRA fine-tuning · ASR / NLU / TTS
Product
Hybrid on-device / cloud voice pipelines · prompt engineering · privacy-by-design · experiment & success-metrics design · pass/fail quality evaluation · cross-region product leadership
Tools & Platforms
Python · Linux · Docker · self-hosted LLMs (Llama) · OpenClaw · open-source stack (Outline, Mattermost, Jellyfin)