I build agents, automations & voice AI that do real work.
I design and ship practical AI systems — autonomous agents, workflow automations, and human-like voice assistants — taking ideas from concept to a deployed product. Fast, hands-on, outcome-first.
Hi, I'm Chandrasekhar Jinendran.
I'm an AI Specialist building agents, automations and human-like voice assistants. I take ideas from concept to a deployed product.
I work hands-on across the modern stack — agentic AI, Model Context Protocol (MCP), and local LLMs. My focus is speed and real outcomes, not proofs of concept.
What I build
AI Agents & Automations
Custom agents and "AI employees" that autonomously handle repetitive work end to end — built across agentic AI, MCP, and Claude Code.
AI Voice Assistants
Real-time, human-like conversational agents on Retell AI — tuned with system & meta prompting and wired into your workflows via webhooks.
AI MVPs & Integration
From idea to a working, deployed product — fast. Workflow automation with n8n and AI woven into existing systems through MCP servers and APIs.
Things I've shipped
The modern AI stack, hands-on
Prompt engineering, agentic systems, automation, and the backend to deploy them — built, debugged and shipped.
Notes from the build
Building human-like voice agents with Retell AI
System & meta prompting, webhooks, and the latency tricks that make a voice bot feel real.
Read article → MCPGoverned MCP servers: tools Claude can't misuse
Policy layers, caps, allowlists and audit trails for safe, autonomous tool use.
Read article → AutomationFrom idea to deployed AI MVP in a weekend
An n8n + Claude workflow that captures, qualifies and routes leads automatically.
Read article →