Location: US, but flexible on TZ
Remote: Yes
Willing to relocate: No
Technologies: Infrastructure, Backend, AI-Applications, enough frontend for prototyping.
( Python, Elixir, Phoenix, Javascript, GNU/Linux, AWS, Postgres, DuckDB, etc )
Résumé/CV: https://resume.taf.codes/resume.pdf
Email: [email protected]
Experienced Generalist Engineer, 12 years in startups and early-stage companies. Twice a founding-engineer. Current interests include GIS, Elixir, applied AI, and alternative data. Open to contracting and employment. If you have an idea, I can build it. If you have a prototype, I can scale it. If you have a vibe-coded or legacy nightmare, I can untangle it.
I write at https://taf.codes.
One thing I'm working on lately is semantic trend analysis across podcasts (using text embeddings). I just finished a custom NUMA-sharded vector scan kernel that can outperform DuckDB by 4x (on my specific queries). My audio transcription system is 10x cheaper than the most competitive provider, and I'm currently working to scale up my ingestion pipeline. If you're curious, my most recent post about this is here: https://taf.codes/2026/05/03/podcasts-2-trends.html
Happy to discuss work for hire, and to connect with anyone having complementary capabilities.
Remote: Yes
Willing to relocate: No
Technologies: Infrastructure, Backend, AI-Applications, enough frontend for prototyping. ( Python, Elixir, Phoenix, Javascript, GNU/Linux, AWS, Postgres, DuckDB, etc )
Résumé/CV: https://resume.taf.codes/resume.pdf
Email: [email protected]
Experienced Generalist Engineer, 12 years in startups and early-stage companies. Twice a founding-engineer. Current interests include GIS, Elixir, applied AI, and alternative data. Open to contracting and employment. If you have an idea, I can build it. If you have a prototype, I can scale it. If you have a vibe-coded or legacy nightmare, I can untangle it.
I write at https://taf.codes.
One thing I'm working on lately is semantic trend analysis across podcasts (using text embeddings). I just finished a custom NUMA-sharded vector scan kernel that can outperform DuckDB by 4x (on my specific queries). My audio transcription system is 10x cheaper than the most competitive provider, and I'm currently working to scale up my ingestion pipeline. If you're curious, my most recent post about this is here: https://taf.codes/2026/05/03/podcasts-2-trends.html
Happy to discuss work for hire, and to connect with anyone having complementary capabilities.