TDTony Deleon
@tonydeleon
Senior software engineer specializing in AI product engineering, RAG systems, and production-grade LLM features.
United StatesWhat I'm looking for
I am a senior software engineer and AI product engineer with deep full-stack experience building and operating production-grade LLM features, retrieval-augmented generation systems, and AI-powered discovery products. I design practical AI systems that combine semantic retrieval, ranking, evaluation, and guardrails to meet real-world latency and reliability constraints.
I've partnered closely with Product, ML, Design, and Infra teams to translate ambiguous ideas into measurable, shippable AI features, and I have shipped AI capabilities safely through disciplined rollout and observability practices. My background spans marketplace, personalization, search, and experimentation platforms at DoorDash, Netflix, Twilio, and Algolia.
I focus on steady execution, thoughtful system evolution, and maintainability—mentoring engineers on evaluation discipline, rollout safety, and operational reliability while driving improvements in ingestion, observability, and API design to support scalable AI products.
Experience
Work history, roles, and key accomplishments
DOOwned and evolved AI product systems for merchant discovery and marketplace search, designing RAG pipelines, semantic/hybrid search, and LLM-assisted menu enrichment to improve relevance and reliability across global surfaces.
NEDeveloped typed GraphQL/DGS schemas and high-throughput REST endpoints, improved API resilience and experiment guardrails, and built telemetry dashboards to increase launch confidence and operational reliability.
TWModernized customer identity and data-activation pipelines with idempotent ingestion, contract-first APIs, and safer rollout patterns, improving downstream freshness and reducing integration breakages.
ALBuilt React/TypeScript search UI components and ranking pipelines that improved median search latency 19% and CTR 13%, and implemented offline evaluation and A/B harnesses to accelerate relevancy iteration.
MOSupported ML-assisted ranking experiments and telemetry instrumentation for Firefox search, contributing evaluation pipelines and analysis tools to inform early experiments.
Education
Degrees, certifications, and relevant coursework
UWUniversity of Washington
Bachelor of Science, Computer Science
2010 - 2014
Completed a Bachelor of Science in Computer Science with coursework and projects focused on software engineering and systems.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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