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Full Stack Engineer with 9+ years in AI Systems & Web Development.
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Full Stack AI Engineer with strong background in Web development, specializing in building production-grade LLM systems that power user-facing products and unlock product scalability. Experienced in designing and deploying agentic AI, retrieval-augmented generation (RAG) pipelines, prompt orchestration systems, and AI-driven automation workflows that reduce operational bottlenecks and enable rapid product iteration. 9+ years of engineering experience spanning AI systems, distributed backend architectures, and cloud-native platforms, with a track record of driving growth in user adoption, request volume, and revenue through applied AI solutions.
Carnegie Mellon University
Bachelor Degree · Computer Science
August 1, 2012 – June 30, 2016
LeyLine AI
Full Stack AI Engineer
May 1, 2024 – April 1, 2026
Seattle, Washington, United States
Birch AI
Full Stack AI Engineer
May 1, 2021 – March 1, 2024
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Production Glue
Python Backend Engineer
June 1, 2019 – April 1, 2021
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Airbnb
Associate Software Engineer
June 1, 2016 – May 1, 2019
Seattle, Washington, United States
Cultural Fit Analysis
The candidate's diverse experience across different company sizes (Airbnb, Production Glue, Birch AI, LeyLine AI) and domains (web development, search/recommendation, healthcare AI, general LLM platforms) indicates adaptability and a broad perspective. Their focus on building scalable, production-ready AI systems and contributing to engineering standards aligns well with a culture that values innovation, quality, and continuous improvement. The progression from general software engineering to specialized AI roles shows a strong drive for learning and growth.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, particularly in addressing complex data challenges for AI systems and optimizing LLM performance. Their experience in fast-scaling startup environments indicates adaptability and a proactive approach to establishing engineering best practices. Collaboration with product, AI research, and creative teams highlights strong cross-functional communication and teamwork. Mentorship experience suggests leadership potential and a commitment to team development.