My Blog

I started the summer thinking about whether code worked. I ended it thinking about how it fails, how it's deployed, how it's observed, and how it recovers. A retrospective tying together an internship, an event-driven platform, a data lakehouse, and a kernel build.

Multi-service CI/CD pipelines, security gates that can actually block a merge, HashiCorp Vault, Istio mTLS and AuthorizationPolicy, Kafka and Redis: an honest breakdown of a Summer 2026 DevSecOps internship, written without exposing anything I shouldn't.

Kafka, Redis, idempotent event ingestion, dead-letter handling, and OpenTelemetry tracing across five services. What building a real event-driven pipeline taught me about failure being the default case, not the edge case.

Bronze/Silver/Gold on Apache Iceberg, dbt-on-Trino, Airflow orchestration, idempotent ingestion, and why I removed a favorable-looking performance number in favor of an honest benchmark methodology.

Building Linux 6.10 from source, writing a character-device driver, and attaching GDB to a paused kernel at start_kernel, and the GCC/C23, LLVM/LTO, and QEMU CPU-model incompatibilities that broke almost every step first.

A personal, from-scratch DevSecOps lab: nine VMs, four services in three languages, Jenkins security gates, HashiCorp Vault, Kafka, Istio mTLS, zero-trust AuthorizationPolicy, and Blue-Green deployments. A separate project from any employer's infrastructure.

Lay-Off-Link is an end-to-end MLOps and data platform, not a README fantasy. This breakdown covers Docker Compose through Kubernetes, Helm, Terraform, and a seven-job GitHub Actions pipeline: linting, tests, coverage, multi-image builds, Trivy, k6, and what production-shaped engineering actually taught me.

We didn't win. But somewhere between hour 14 and hour 21, I think we found something better. This is the story of how we built Talent Bridge: a web app born from a 24-hour hackathon that reframes layoffs not as career endings, but as transitions.

After spending several months diving deep into Go, I've discovered what makes this language truly special for building reliable, scalable applications. This isn't just another programming language: it's a philosophy that resonates with how I think about software development.

When I first arrived at the University of Minnesota, I knew I wanted to work in tech, but I wasn't sure exactly where. After exploring different areas and building projects, I discovered DevOps and Site Reliability Engineering: the perfect intersection of systems thinking, automation, and problem-solving. This plan maps out how I'm using my CS and Math double major to build the foundation for a career in infrastructure engineering.

My first year at a foreign country, stayed far away from my family, girlfriend, friends, and all memorable things, has come to the end. Now, at the time I wrote this blog, I'm sitting at my desk and typing each line for you to know more about my person.

As a computer science student, maintaining a healthy body is just as important as keeping my mind sharp. Over the past year, I've developed and refined this 4-day workout routine that fits perfectly with my busy academic schedule.