▲ | ibarrajo a day ago | |
I'm a backend/platform engineer and developer advocate with over 10 years of experience building systems at scale across startups and growth-stage companies like Uber and DoorDash.Until earlier this year, I worked at Uber as a Developer Advocate for Cadence — an open-source workflow orchestration engine powering 12B+ workflows/month. I partnered with dozens of teams to support adoption, scale distributed systems, and troubleshoot production issues. Cadence is a key component of Uber's Michelangelo ML platform, and I worked closely with AI/ML teams to integrate it into fault-tolerant pipelines. I also supported internal model training efforts, including fine-tuning LLMs to answer Cadence-related questions and building systems to classify and prioritize developer support. At DoorDash, I contributed to the migration from Django to Kotlin microservices on the Drive Merchant Services team, focusing on customer support endpoints. I also designed and implemented a modular refund rules engine for our largest partners, enabling flexible refund logic and supporting internal tooling. I’ve previously built NLP pipelines at Jobscan to match résumés to job descriptions and score resume strength, and earlier, trained models to predict ad performance based on copywriting—my first foray into ML back in 2016. After wrapping up at Uber, I took the summer off for personal restoration following a divorce. I'm now excited to return to a hands-on engineering role with a collaborative, technically strong team and a path toward engineering leadership (EM or CTO). I'm particularly interested in infrastructure, developer platforms, and applied ML systems in domains like healthcare, logistics, finance, or defense. Outside of work, I enjoy navigating Puget Sound on my sailboat, wrenching on my motorcycle, and getting curious about obscure systems and trivia. Let’s build something meaningful. |