For hiring managers
Résumé and experience
Three years of client work: integrations, AI extraction pipelines, and applications taken from a first conversation to production. Below is the same content as the PDF, in a form you can read without downloading anything.
Summary
Full-stack engineer with three years designing and delivering custom integrations, AI-powered workflows and end-to-end applications, across both low-code platforms and enterprise orchestration environments. I have worked at every stage of product development — discovery, requirements, architecture, implementation, integration, testing, CI/CD and production deployment — and owned whole project lifecycles on my own where that was the shape the work needed.
What I am looking for is a team where the work is genuinely end-to-end: talking to the people who will use the thing, deciding how it should be built, and staying responsible for it after it ships.
Experience
CloudBase Services
Berkeley, California
- Independent contractor
- June 2026 — present
- Full stack engineer
- June 2023 — June 2026
- Architected and delivered end-to-end applications across 30 client engagements, contributing at every stage — requirements gathering, system design, integrations, testing, deployment — and owning complete project lifecycles independently where that was what the work needed.
- Worked directly with client stakeholders to turn operational requirements into technical ones, which is most of the job on engagements this size and the part that decides whether the rest of it lands.
- Built a configuration-driven document-extraction pipeline in Python with four other developers: prompts assembled per document, extraction restricted to field-specific page ranges, related fields grouped into shared model calls, and retry logic isolated per document so one bad page could not fail a batch.
- Deployed that pipeline across printed and handwritten documents of varying lengths, cutting average manual review from roughly five hours to about four minutes — with a confidence score and a source reference attached to every extracted answer, so a reviewer could check the machine rather than trust it.
- Implemented a search engine in Python with tokenisation, Porter stemming, TF-IDF relevance scoring and PageRank over a random-surfer transition model, validating the ranking maths in unit tests against values derived by hand.
- Engineered a resource-allocation platform around a custom constraint-optimisation algorithm balancing staffing requirements against employee availability, with a real-time scheduling interface that let clients review and confirm changes without recalculating assignments themselves.
- Containerised and deployed client systems with Docker, giving each environment a repeatable build. That approach is what let the company roughly double its portfolio of integration-ready client portals.
Education
BSc Computer Engineering
Brown University, Providence, Rhode Island · June 2024