LLM agents that finish the job
Agents that go from input to outcome on their own — like the voice AI receptionist I shipped that handles inbound calls end to end, 24/7.
I build LLM agents, RAG pipelines, and end-to-end automation that ship to production and delete the busywork.
› LLM agents · RAG · n8n workflows · deployed & monitored 24/7
People babysit tasks that should run themselves. I hunt them down, wrap them in LLM-powered automation, and hand the hours back — then keep it alive in production so the work never creeps back.
Three capabilities — one operator who takes them from idea to running software.
Agents that go from input to outcome on their own — like the voice AI receptionist I shipped that handles inbound calls end to end, 24/7.
RAG and automation pipelines wiring models, APIs, and data into systems that retire manual work — content engines, lead flows, data jobs.
Production deployment on Linux with uptime monitoring and incident response. I sweat the unglamorous part where it has to stay up.
Selected systems — each taken from a blank file to working software.
A full-stack n8n platform: keyword in, platform-ready posts and images out — auto-tuned for Instagram, LinkedIn, X and Facebook.
Automated lead-gen that fetches and validates prospects via Apify + Apollo, then fires personalised outreach with Selenium + SMTP. Zero manual prospecting.
A Flask backend using a pretrained CNN + cosine similarity to verify faces frame-by-frame. The basis of my IEEE paper.
Real-time video conferencing in Django + LiveKit WebRTC — token rooms, live mic/camera controls, and encrypted passphrase handling.
Peer-reviewed research on verifying faces across video frames with a pretrained CNN and cosine-similarity matching.
What you're probably wondering, minus the fluff.
Yes — open to remote AI & automation roles and freelance builds. Mumbai-based, timezone-flexible. Fastest way in is email.
AI agents and automation that ship to production and remove real work. Fewer notebooks, more systems people use every day.
End to end. Idea to deployed, monitored, dependable software — and I care most about the part where it has to keep running after launch.
Python, LLM APIs, n8n, Django/Flask — and Linux when it's time to ship. Whatever gets the system running and keeps it stable.
Open to remote roles, freelance builds, and problems worth automating.
AVAILABLE · MUMBAI, IN · OPEN TO REMOTE