(TypeScript, AWS, Next.js, Nx, Prisma, GitHub Actions, Docker)
I built a monorepo that powers my personal website and provides APIs and data pipelines to support machine learning tools and football analytics workflows. It includes scheduled data generation using AWS Lambda and S3, is deployed with AWS Amplify, and uses Nx to manage shared libraries and maintain scalable development across services.
REST APIs written in TypeScript handle sports analytics workloads and serve precomputed data to the frontend. I use GitHub Actions to automate validation, testing, and deployment across the stack; including unit tests, integration tests, and automated deployment to AWS Amplify.
One of the more interesting challenges I solved was identifying and reporting a key bug in AWS Amplify's monorepo build handling, which improved support for Nx-based apps.
(Go, OpenTelemetry, Grafana, Prometheus, Tempo, Loki, Chi, Docker)
A vendor-neutral observability pipeline built in Go using OpenTelemetry for tracing, structured logging, and metrics collection. The stack supports backend switching between Grafana's Tempo and Loki, as well as Prometheus for metrics. Data is visualized in Grafana with full correlation between logs and spans.
I containerized the full setup using Docker to enable quick testing and real-time insights in local environments. This project helped deepen my understanding of observability, tracing instrumentation, and telemetry pipelines in production-grade systems.
(Unreal Engine 5, C++)
A small playground built with Unreal Engine 5 in C++ to explore object-oriented programming and gameplay mechanics in a third-person shooter environment. While simple, it was a fun way to apply low-level code structure in a high-performance game engine.