AI Automation Engineer. I build systems that think, so people don't have to repeat themselves.

I engineer AI-driven automation pipelines — the kind that take a workflow full of manual steps and collapse it into something that runs itself. My obsession is simple: maximise throughput, minimise human input, never sacrifice output quality.

Not tools. Not scripts. Pipelines — end-to-end, integrated, built to scale.

Currently building production-grade systems for iGOT Karmayogi, a national government training platform. Hindi/Hinglish video at high volume. Every subtitle, every correction, every render — automated.

Most engineers pick their stack as they go. I don't.

Before I write a single line, I map the major components, study the ceiling of each element, and design for how they'll integrate at full load. I build upward from a foundation I already understand — so when the system is under pressure, nothing surprises me.

The goal is always a pipeline that flows. No friction between layers. No bottlenecks hiding in the integration.

AI should not be a privilege. The benefits of intelligent automation belong at the ground level — in industries that have never had access to them, in workflows that are still entirely manual, in the hands of people who don't know it's even possible yet.

That's the direction. Every project I take on is a step toward it.

• AE-MCP — After Effects MCP server for model-agnostic AE automation. Because a render pipeline shouldn't require a human in the loop.

• Hinglish Subtitle Pipeline — Whisper → Gemini correction → ASS/SRT output. Built from scratch for code-mixed audio that generic transcription tools get wrong.

• SRT Correction Engine — LLM agentic loop with structured feedback ingestion across XLSX, PDF, DOCX. Corrections applied without breaking timestamps.

There is a certain intellectual level at which a problem stops being a problem and starts being a design challenge. That's where I try to live.

When everything is working — when the architecture is clean, the integration is seamless, and the pipeline is running — it feels like anything is solvable. That feeling is what I'm chasing.

Bhopal-based. Systems-oriented. Aimed at something bigger.