Full Stack Expertise
End-to-end development with Python, TypeScript, React, and modern frameworks.
Senior software engineer with nearly nine years of experience building and leading complex production systems. I’ve worked across system architecture, distributed services, cloud infrastructure, and AI-powered platforms using Python, TypeScript, AWS, Kubernetes, and PostgreSQL. I’m comfortable making key technical decisions, improving system reliability, and helping engineering teams deliver at a high level.
End-to-end development with Python, TypeScript, React, and modern frameworks.
AWS, Docker, Kubernetes, and CI/CD pipelines for reliable, repeatable deployments.
Designing scalable systems with PostgreSQL, Redis, and efficient architectures.
Mentoring engineers, running code reviews, and raising the bar for quality.
Scaling real-world data and clinical AI to transform healthcare. Bellevue, Washington, remote.
I focused on full-stack engineering and AI infrastructure to automate home-based healthcare systems during a key platform shift. My work bridged the gap between modern cloud software and legacy hospital databases. New York, New York, remote.
Full-stack engineering on the digital health platform, spanning the member app, the backend services behind it, and the data flows that turn connected-device readings into personalized guidance. San Francisco Bay Area, remote.
Worked as a junior engineer helping a senior team build and maintain the Uber Health API and B2B dashboard. My daily tasks involved assisting with Go and Python microservices and running tests. San Francisco, California, on-site.
Supported the engineering team during the initial full-stack development of the Uber Health beta platform, helping write simple dashboard features and testing automated SMS communication tools. San Francisco, California, on-site.
AI platform that answers natural language questions about patient populations, treatments and outcomes from continuously updated real-world care data, returning verifiable results in minutes rather than months.
Automates the durable medical equipment order lifecycle across 3,500 equipment codes, guiding clinicians through digital forms tailored to each health plan and cutting one to two week approvals to five days or less.
Fierce Healthcare coverage of the launch of the engine that automates orders for home medical equipment across payer requirements.
Whole Body Digital Twin program pairing wearable sensors with AI to help members address metabolic conditions including type 2 diabetes, prediabetes and obesity.
The Android app members use day to day, tracking their sensor data and following the personalized metabolic plan the program builds for them.
Healthcare IT News reporting on Tomorrow Health ending its medical supply business.
Caltech · Sep 2015 – May 2017
Caltech · Sep 2011 – Jun 2015
I am always open to discussing new opportunities and interesting projects. Let’s build something great together.
+1 816 945 2103