I build AI, data, and automation systems for founders and teams who need messy inputs turned into tools people can actually use.
Building in AI/automation too? Let's connect.
Hiring for AI/data roles? Open to a conversation.
Need an AI or automation system built? Let's scope it.
- Building retrieval, validation, and scoring systems across AI and data workflows.
- Shipping repo-native tools that bring geospatial, finance, and ML work into the same decision flow.
- niche-radar ★0: A niche finder that pulls from external sources and turns noisy market inputs into signals you can use.
- ingo ★0: A shell-first RAG CLI for PDFs, OCR, embeddings, and vector search without a heavy app runtime.
- li-jobs ★0: A jobs collection API for scraping, normalization, and downstream job-data workflows.
- bfr ★0: A Go CLI and importable client for Buffer's GraphQL API: channels, ideas, drafts, threaded and image posts, from the terminal.
- open_ksa ★3: A Python utility for working with Saudi Arabia's open data platform across thousands of datasets.
- tidyup ★0: A CLI utility for sorting files and folders by extension and date.
- translagent ★0: A translation app with transliteration and audio support, built end to end.
Private work: Purchase-Likelihood Scoring Pipeline · Geodatabase Validation Toolkit · ATS Scanner. More at works.estebanvalencia.com.
- Asana cuts model costs 76x in browser tests with GPT-6.1 Sol (OpenAI, 9 Oct 2026)
- Multimodal open d1 decision models for the edge (Hugging Face, 7 Oct 2026)
- Claude Haiku 5.5 — better than GPT-6 Luna at the same pricing (Latent.Space, 8 Oct 2026)
Benchmark pulse: I check LiveBench daily.
Live artifact. Go + GitHub Actions rewrites this every 6h and scores 6 AI feeds for recency and relevance. Source