Tony Deleon
@tonydeleon1
Senior software engineer specializing in AI product engineering, retrieval-augmented systems, and reliable production ML.
United StatesWhat I'm looking for
I am a Senior Software Engineer and AI Product Engineer with extensive experience building production AI systems across retrieval, ranking, and LLM-powered workflows. I specialize in designing agentic, retrieval-augmented systems that combine semantic search, multi-step reasoning, evaluation, and guardrails to solve real product problems at scale, and I partner closely with Product, ML, Design, and Infra to turn ambiguous ideas into shippable features.
My work has driven double-digit relevance improvements, reduced inconsistent LLM outputs by ~25–30%, and improved robustness and observability across marketplace and personalization platforms at companies including DoorDash, Netflix, Twilio, and Algolia. I focus on reliability, latency, safe rollouts, and long-term maintainability while mentoring engineers and establishing evaluation and quality feedback loops.
Experience
Work history, roles, and key accomplishments
Owned AI-powered merchant discovery and platform systems, designing RAG and multi-step LLM workflows that improved relevance and reduced inconsistent outputs by ~25–30% while maintaining p95 latency within marketplace SLAs.
Built ML-backed metadata and ranking services and feature pipelines that served tens of millions daily and delivered ~10–15% gains in offline relevance metrics while reducing personalization latency by ~15–20% at peak.
Developed data transformation and scoring pipelines powering customer segmentation and automation, improving data freshness to under 3 minutes (p95) and introducing schema enforcement that reduced integration failures by ~35–40%.
Contributed to search ranking and relevance features, improving query handling and offline relevance evaluation workflows and implementing React/TypeScript UI components to surface relevance signals.
Supported offline evaluation tooling, data preparation, and telemetry instrumentation for early ML-assisted ranking experiments to improve experiment analysis and reproducibility.
Education
Degrees, certifications, and relevant coursework
University 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 data-driven systems.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Social media
Job categories
Skills
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