I own the API Gateway and related infrastructure for the world's largest Kafka SaaS, Confluent Cloud (>$500M ARR), including taking on 20+ on call shifts to ensure reliability for customer facing operations including Kafka provisioning, Billing, and the Confluent AI assistant.

More Details on what I built:

• Designed and built an observability tooling framework (0 → 1) for the customer facing GraphQL APIs powering Confluent Cloud using OpenTelemetry, Prometheus, and Kubernetes native logging. This made it super easy for engineers to root cause incidents quickly and reduced average root cause time from 30 minutes to <1 minute for a system used daily by customers worldwide.

• Built a test framework for Confluent Cloud’s production rate limiting service, which gates all control plane API ingress traffic. Integrated with Semaphore CI to validate Envoy proxy behavior and ensure correctness of global API rate limiting infrastructure.

• Developed a secure and performant system for tracking the continuous integration and deployment (CI/CD) of the Operating Systems for newly developed Orion AR glasses at Meta using React, GraphQL, JavaScript, PHP/Hack, Flow, and Relay.

• Increased developer productivity in debugging build and test failures by 300%.

• Automated the process for updating quarterly financial reports (which track a combined $1 billion+), simplifying a 2 quarter-long manual process to a less than 1-minute automated process by building a full stack web application.

• Implemented the web app with 3 authorization access levels using React, Express.js, and Node.js, empowering non-technical business teams to independently update and approve financial report fields.

• Developed RESTful API endpoints using Java, Spring, Maven, PostgreSQL and Tomcat to modify and track, and process financial report data within a 1,000,000+ record relational database.

• Achieved 100% unit test coverage for the frontend using Jest.

• Designed and developed an automated direction-finding system in Python, using 3 Linux raspberry Pi computers connected to SDRs (software defined radios), that located IoT signals at the 902 -928 MHz range for users to track IoT devices around them.

• Automated a manual process of tracking IoT devices by updating locations in real-time, through modifying an open-source program written in Python while also using cloud application services such as AWS EC2 and S3.

• Gained exposure to containerized software application tools like Docker & Kubernetes.

• Built and debugged a mobile-optimized web application that directly serves 2,700+ students, faculty, and staff, using C#, React, TypeScript, HTML, and CSS on a team of 7 developers.

• Improved REST API request speed by 100% by implementing React-Redux for HTTP requests, which led to a 20% reduction in loading times.

• Created an intent-based chatbot that answers questions for students and supports 520+ intents using Dialogflow and React.