Staff Engineer with 9+ years of experience building and scaling cloud-native and AI/LLM-powered systems for startups (including YC graduates) and product engineering teams across North America and Europe. Currently at Perle AI in San Francisco, previously at Evidently, Authentik Security, BenchSci, Mezmo (LogDNA), and NuraLogix Corporation.
Work focuses on the intersection of Backend Platforms, Cloud Infrastructure, and Developer Experience by designing systems that are reliable, observable, and straightforward for other engineers to build on. Specialized in LLMOps, agentic workflows, and production AI systems, with expertise in turning complex infrastructure into tools and platforms that are simple to adopt and safe to run in production.
Technical focus includes API development, platform engineering, SRE/DevOps practices, and healthcare data integrations (EHR/HIE). Proficient in Node.js, Python, TypeScript, Golang, with extensive experience in AWS, GCP, Docker, Terraform, and modern LLM APIs (OpenAI, Gemini). Bachelor's degree in Computer Science from the University of Waterloo.
Featured Projects
Information degradation analysis across LLM chains
Docker log integration for LogDNA platform
AWS Lambda function for S3 log ingestion
CircleCI integration for continuous monitoring