---
title: "Rounak Show - AI/ML Engineer in India | Tal"
description: "Meet Rounak Show, AI Engineer | Voice AI | Real-Time AI Agents | Generative AI | LLMs | Fine-Tuning | LiveKit | Python based in India. AI stack includes claude code, hugging face, and langchain."
image: "https://tal.club/meet/rounak-show/share-image"
---

# Rounak Show on Tal

## Headline

AI Engineer \| Voice AI \| Real\-Time AI Agents \| Generative AI \| LLMs \| Fine\-Tuning \| LiveKit \| Python

## About

I’m an AI Engineer focused on designing and building production\-grade AI systems, with a strong focus on Voice AI and Real\-Time AI Agents\. My work spans the full AI engineering lifecycle — from system architecture and LLM orchestration to backend services, real\-time communication, cloud deployment, and production monitoring\. I work extensively with Voice AI, LLMs, fine\-tuning, tool calling, RAG, and agentic workflows\. I build real\-time conversational systems using technologies such as LiveKit, Python, FastAPI, LangChain, and LangGraph\. My key areas of work include: • Voice AI & Real\-Time AI Agents • LLM applications, fine\-tuning & evaluation • Agentic systems, tool calling & MCP • System Design & AI Architecture • Backend APIs & distributed AI workflows • Real\-time and low\-latency systems • Cloud deployment, Docker & production infrastructure • Observability, reliability & scalability I enjoy solving the engineering challenges that come after the AI prototype — designing the right architecture, reducing latency, managing context and state, integrating external systems, scaling services, and making AI applications reliable in production\. I’m particularly interested in building intelligent, real\-time AI systems that combine models, voice, tools, backend infrastructure, and cloud services into complete products\.

## Location

India

## AI stack

claude code

hugging face

langchain

langgraph

livekit

vLLM

## Work experience

AI/ML Engineer at Trugen AI, Feb 2026 \- Present · 9 mos, Remote, \- Agent Harness Ownership: Owned the architecture and hands\-on development of a production AI\-agent harness platform handling long\-running tasks, background workers, context, tools, state, checkpoints, limits and traces\. \- Led Model Finetuning for Production: Led team to prepare labelled data and held\-out evaluation workflows, then fine\-tuned and deployed Qwen3\.5\-0\.8B, achieving 97\.9% accuracy and 0\.975 Macro F1\. \- Observability, Latency, and Cost: Built distributed tracing across agent turns, tool calls, and background workers using OpenTelemetry and Langfuse; monitored request\-level latency, token burn, and error rates to debug edge\-case failures and control inference spend\. \- Real\-Time Voice & Video Agents: Architected and deployed interactive multi\-participant meeting bots using LiveKit, Recall\.ai, Python, and streaming speech \(STT/TTS\); orchestrated low\-latency RPC and tool calling across bidirectional voice, screen\-share, and video streams\. \- Streaming Infrastructure: Re\-architected event ingestion into an auto\-reconnecting, call\-scoped WebSocket pipeline, eliminating a 10\-second event blind spot during agent handoffs and safeguarding session state against partial network drops\. \- Reusable AI Infrastructure: Built authenticated, OpenAI\-compatible APIs with Server\-Sent Events and multi\-provider routing; developed a Go and Gin service to provision, monitor, reconcile, and manage Dockerized agent runtimes\.

ML Engineer \- GenAI at FutureSmart AI, Oct 2024 \- Feb 2026 · 1 yr 5 mos, \- System and Multi\-Agent Delivery: Led end\-to\-end delivery of Generative AI, custom\-agent, and NLP systems for global clients, translating business requirements into architectures, prototypes, and production deployments while remaining hands\-on in development\. \- Agent, RAG, and Integration Architecture: Designed and built multi\-agent workflows, modular pipelines, third\-party integrations, and retrieval systems combining SQL and vector databases for real\-time, context\-aware client workflows\. \- Production and Cloud Delivery: Deployed and scaled Dockerized applications on AWS and GCP, improving reproducibility across development and production environments\. \- Team Mentorship: Mentored interns and junior engineers on software engineering, system design, and prompt engineering; recognized multiple times as Employee of the Month\.

Data Science Intern at FutureSmart AI, Mar 2024 \- Oct 2024 · 8 mos

## Education

Bachelor's degree, University of Calcutta

[View the original profile](https://tal.club/meet/rounak-show)

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