Gowtham Arulmozhi

I’m a Fullstack AI/ML Engineer at Beaverhand Inc., where I build AI-native products from the ground up — from real-time AI interview engines to multi-agent evaluation pipelines, deployed on GCP with production-grade infrastructure.

I hold a Master’s in Artificial Intelligence from Oregon State University (2025) and a B.E. in Electronics from Anna University. Previously, I spent two years as a Software Engineer at NPCI (National Payments Corporation of India), architecting fault-tolerant platforms processing 10M+ daily transactions, building fraud detection pipelines, and developing observability systems for India’s Central Bank Digital Currency.

My work sits at the intersection of AI/ML, backend engineering, and cloud infrastructure. I’ve built RAG agents, real-time video synthesis systems, and scalable data pipelines — and I care just as much about how models are served and monitored as how they’re trained.

I’m certified as an AWS Solutions Architect, Kubernetes Administrator, and Terraform Associate.

Currently exploring distributed LLM training with multi-GPU parallelism.

Feel free to explore my projects or reach out via email, LinkedIn, or GitHub.