Hi, I'm Vybavnag.
I'm a software engineer at UKG building AI/MLOps infrastructure — OpenTelemetry tracing across AI microservices, Go pipelines on GCP, Pub/Sub feedback loops that turn customer signal into product.
On the side, I'm building Gateway: an AI-native platform where engineers design distributed systems on a visual canvas and ship them to real cloud infra with one click. It's where I get to wear every hat — architecture, microservices, AI agents, Terraform, EKS — and it's teaching me more than anything else.
My background is deep learning (TensorFlow, transfer learning, time-series) and systems (DSP on microcontrollers, SMS→LLM gateways). I like problems that sit at the intersection of ML, infra, and user experience.
I care about the plumbing that makes AI products trustworthy. Telemetry, evals, guardrails, the boring-but-load-bearing stuff.
If any of this sounds relevant to what you're building — AI infra, MLOps, dev tooling, or anything at the intersection of LLMs and real systems — I'd love to grab a coffee →