Anubinda Gurung

I’m a software engineer building and optimizing data pipelines, analytics infrastructure, and end-to-end data provisioning systems. Currently at Western Digital, I designed and developed Model Context Protocol (MCP) servers using FastMCP to enable agentic workflow integrations with internal API servers, including a POC SQL optimizer agent to validate feasibility.

I focus heavily on system reliability and measurable performance improvements—auditing a data processing engine to reduce memory overhead from 8GB to 3.5GB, eliminating OOM crashes in K8 pods while maintaining 99.9% uptime for downstream Spotfire dashboards. I’ve also accelerated file processing speeds by 67% (15 to under 5 minutes) and cut end-to-end API latency by up to 80%, while supporting stakeholders through SQL query development and exploratory ML feasibility work.

Earlier, I served as the sole developer for an internal warehouse management web app and built real-time safety monitoring with live helmet-camera streaming and dynamic geofencing. I’ve also delivered industrial automation with C# WinForms interfacing with sensors/PLCs and contributed full-stack, data-centric products like a meteorological platform (Python automation, Django deployments, Linux operations) and applied ML research (LSTM-based fall detection deployed to embedded devices) with published work.