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Prathamesh Mane

@prathameshmane

Message

I build production LLM agents and real-time voice AI systems for high-impact customer workflows.

India

Message

What I'm looking for

I'm looking to build reliable production AI agents and real-time conversational systems, combining LLM workflows, evaluation, backend engineering, and voice infrastructure for high-impact user problems.

At Pelocal, I build production conversational AI systems for transit and emergency dispatch workflows.

For a Delhi Metro client, I'm building a LangGraph-based assistant for route planning, fare lookup, and station queries serving 10,000+ monthly users. I architected state graphs, checkpointing, tool-calling, RAG, memory, and evaluation workflows for reliable multi-step interactions.

I also built a real-time roadside-assistance voicebot from scratch, connecting streaming speech recognition, LLM routing, multi-provider TTS, and dispatch APIs. The system delivers sub-one-second end-to-end voice latency and reduced service fulfillment time from eight minutes to two minutes across 500+ daily production calls.

I work across Python backend and AI infrastructure, including FastAPI, Redis, RabbitMQ, WebSockets, LangGraph, OpenAI SDK, and model evaluation. I'm especially interested in reliable agentic systems that perform under real-world constraints.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

Pelocal

Nov 2025 - Present (10 months)

Building a LangGraph-based conversational agent for a Delhi Metro transit client, handling natural-language route planning, fare lookup, and station queries. Architected an agentic harness with explicit state graphs, checkpointing, and tool-calling nodes to support multi-step reasoning and reliable intent routing.