About Me

More than just a title—let’s dive deeper!

I’m a Full-Stack & Backend Engineer and M.S. CS student at Washington State University, focused on turning ideas into production-ready, data-driven applications. I love designing clean APIs, efficient data models, and resilient services that power modern web experiences.

On the backend, I work with TypeScript/Node and Go, shipping services with PostgreSQL, MongoDB, Redis, and message queues. I containerize with Docker, orchestrate on Kubernetes, and care deeply about performance, observability, and clean architecture.

On the AI side, I build LLM-powered features—from RAG pipelines and AI agents to evaluation loops and prompt tooling—using Python, PyTorch, and modern vector search. I enjoy stitching ML with product: data ingestion, embeddings, retrieval, ranking, and feedback signals that actually move metrics.

Currently learning: leveling up in PyTorch (tensors, autograd, data loaders, fine-tuning), vision/transformer basics, RAG best practices, vector databases, and practical MLOps (experiments, evals, deployment). On the web side, I’m sharpening Next.js, React, and TypeScript for fast, accessible UIs paired with robust APIs.

I thrive in collaborative environments and love owning features end-to-end: scoping, building, measuring, and iterating. My goal is simple—ship reliable software that feels smart and makes users measurably happier.