
Nick Taylor
@nicktaylor
I build production AI platforms and distributed backend systems at enterprise scale.
What I'm looking for
At Atlassian, I build an internal AI knowledge platform that unifies engineering documentation, source code, runbooks, and support knowledge for thousands of engineers. I develop production retrieval services with Python, Go, LLMs, semantic search, and RAG.
I redesigned knowledge indexing and retrieval using pgvector, metadata-aware ranking, and hybrid search, improving relevance without increasing query latency. I also built event-driven microservices processing millions of engineering events daily and helped reduce synchronization delays to seconds with Kafka and AWS EventBridge.
Previously at Epic Systems, Algolia, Looker, and Google, I built and modernized high-scale backend platforms spanning healthcare workflows, distributed search, analytics, and infrastructure services. My work has included reducing API response times by nearly 45%, cutting search latency by roughly 35%, and improving report generation times by more than 40%.
I stay hands-on while leading architecture, reliability, and platform modernization efforts. I enjoy building secure, observable cloud systems, mentoring engineers, and turning complex operational and AI challenges into reliable products.
Experience
Work history, roles, and key accomplishments
Building an internal AI platform for unified search across engineering knowledge, using Python, Go, LLMs, and RAG. Improved search relevance with hybrid retrieval and reduced deployment times by 60% through Kubernetes and Terraform.
Education
Degrees, certifications, and relevant coursework
Bachelor of Science, Software Engineering
2011 - 2013
Worked as a Software Engineer at Google, contributing to backend systems for large-scale distributed services.
Availability
Location
Authorized to work in
Job categories
Skills
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