• Maintains, extends, and serves as subject matter expert for 10+ microservices within the MyFitnessPal backend ecosystem that power the app's core diary, food logging, and AI logging experiences
• Partnered with Product and Data Science teams to design, integrate, and revamp the app's AI logging experience, which drove incremental increase in feature engagement and revenue
• Modernized the AI logging technical stack, which enabled observability into LLM workflows and supported dataset-driven product decisions through Langsmith integration
• Successfully drove a platform modernization of a high-traffic and highly visible diary and logging microservice delivering:
• Zero downtime to customers throughout the migration
• 40-70% latency improvements for core application endpoints
• 50% improvement in developer velocity
• Migration off of end-of-life (EOL) technologies
• Architected and executed the migration of Kafka logging events off legacy infrastructure dependent on EOL technologies
• Participates in on-call rotation, responsible for incident triage and response across 100+ microservices in the backend MyFitnessPal ecosystem
While a core skill of software engineering is the ability to quickly learn and adapt to new technologies, I have particular experience with the following:
• Languages: Python, Kotlin, SQL, Ruby, JavaScript, TypeScript
• Runtimes, Libraries & Frameworks: FastAPI, Spring, Node.js, Express, Rails
• Cloud, Infrastructure & Observability: AWS, Kafka, Docker, Redis, Datadog, Kubernetes, Planetscale, PagerDuty
• Misc. Technologies and Skills: LLMs, VLMs, Langchain, Langsmith, REST APIs, Linux, MySQL