About · Bay Area
Francisco Trejo
Building AI-native products and the infrastructure underneath them. Head of Technology at Famished AI, with open-source projects contributing back to the tech community.
Background
Bay Area–based technology leader, originally from Mexico, with about a decade of experience building, scaling, and leading systems across AI, fintech, and logistics. Got into tech for the feeling of solving hard problems and proving out innovative ideas — and now operates at the intersection of technical depth and business ownership. Currently Head of Technology at Famished AI, owning full technical strategy end-to-end: architecture, engineering, DevOps, and cloud infrastructure. Active in open-source on the side as a way to contribute back to the broader tech community.
What I'm building
I'm building technology that removes friction from how businesses operate.
At Famished, I lead technology and product architecture, designing an AI-driven platform focused on efficiency, automation, and intelligent infrastructure.
I've always been drawn to building systems from the ground up. What started as writing code out of curiosity evolved into designing full-scale platforms, integrating AI models, structured data systems, and scalable backend infrastructure.
My work combines product thinking, engineering discipline, and long-term architectural vision. I focus on clarity, performance, and designing systems that are intentional from day one.
Why I'm building it
I build technology that removes friction from how businesses operate. At Famished AI, I lead technology and product architecture — designing an AI-driven platform around efficiency, automation, and intelligent infrastructure. My work combines product thinking with engineering discipline: integrating AI models, structured data systems, and scalable backends into platforms that are intentional from day one.
What I do
- —Full-stack engineering — hybrid React Native + Next.js (Solito) apps, web and mobile from a shared codebase
- —Applied AI — RAG pipelines, vector DBs + embeddings, streaming chat systems, generative UI, LLM hosting & context management
- —DevOps & cloud infrastructure across Azure, AWS, and GCP
- —Data engineering — distributed systems, large-scale pipelines, ETL/ELT automation (Databricks certified)
- —Infra & dev tooling — terminal-native agent frameworks, multiplexers, internal platforms
- —Technical leadership — 0-to-1 product delivery, team building, full-stack ownership; advisory & consulting engagements
Certifications
- —Databricks Certified — data engineering on the Lakehouse platform (Delta Lake, Spark, MLflow).
Shipped at scale
Fintech
JPMorgan Chase · Capital One · First Republic Bank · AssetMark
Built and operated secure systems supporting data flows and transactions reaching ~$100M in value.
Logistics & Transportation
Schneider National · Porsche
Architected platforms supporting $30M+ in operations and processing 20M+ transactions daily.
Earlier
MAHLE
Founded and ran a software company in Mexico, leading teams of 5–10 engineers — from real-time communication platforms to mission-critical enterprise systems for global clients.
Selected confidential work
Contributing to a private AI-augmented CAD generation pipeline built on Rhino.compute — NURBS, BREP, and topology manipulation for high-accuracy parametric design systems. The interesting problem is hybridizing generative models with deterministic geometry kernels so agents can propose designs without breaking manufacturability.
Off the keyboard
Passionate motorcyclist with semi-pro racing experience.