---
title: "Mann Pandya - AI Engineer in Bengaluru | Tal"
description: "Meet Mann Pandya, AI Engineer | Forward Deployed Engineer: production voice agents, agentic workflows & integrations, end to end | 500+ live interactions/day | Python · TypeScript · Pipecat · Vapi · LangGraph · FastAPI · n8n | Remote based in Bengaluru. AI stack includes claude code, claude, and co..."
image: "https://tal.club/meet/mann-pandya/share-image"
---

# Mann Pandya on Tal

## Headline

AI Engineer \| Forward Deployed Engineer: production voice agents, agentic workflows &amp; integrations, end to end \| 500\+ live interactions/day \| Python · TypeScript · Pipecat · Vapi · LangGraph · FastAPI · n8n \| Remote

## About

I'm an AI Engineer who works the way a Forward Deployed Engineer does: sit with the customer, figure out what actually needs to work, build it, ship it, and own it in production\. Right now that's at ClinicPro AI, where I build and operate production voice agents and integrations for a multi\-tenant platform handling 500\+ live interactions a day\. The domain is healthcare today; the work — voice AI, agentic workflows, and integrating with whatever system the client already runs — transfers to any sector\. Most of my work sits at a boundary that doesn't show up in demos: deciding when an agent should stop talking and hand the person to a human\. Escalate too eagerly and you've rebuilt the phone queue you were replacing\. Let it push too far and it answers something it had no business answering\. I build that line into the workflow — confidence thresholds, high\-risk intent routing, retry limits, human\-approval interrupts — rather than a prompt the model can talk itself out of\. What that looks like day to day: • Running demos and requirement calls directly with clients, then turning those into working agents and rollout plans • Building the voice stack: a self\-hosted Pipecat server \(FastAPI, Gemini Live speech\-to\-speech, Telnyx \+ WebRTC\), Vapi and Twilio agents with SIP, DTMF and warm transfers, and the SaaS platform clients use to run them • Integrating systems with no public API — reverse\-engineered 8\+ third\-party platforms via HAR analysis, plus direct FHIR integrations — alongside CRM \(GoHighLevel\) and n8n automations • Orchestrating multi\-step agents with LangGraph: branching on intent, persisting state across turns, interrupting for human approval • Owning the evaluation layer: 340\+ adversarial tool\-chain tests and persona\-driven multi\-turn tests asserting both responses and tool\-call arguments against live agents, plus the full Playwright E2E suite • Keeping things running when infra breaks, and leading the architecture audit and reliability roadmap Stack: Python · TypeScript · FastAPI · Pipecat · Vapi · Twilio · Telnyx · LangGraph · CrewAI · AutoGen · MCP · n8n · Supabase/Postgres · pgvector · GCP · Docker · Playwright · PyTorch · Hugging Face\. Claude Code daily\. Before this: NASA Space Apps 2023 winner \(1st of 700\+ teams\) with a transformer LLM built from scratch in PyTorch; Smart India Hackathon winner; HackMIT 2024 \(2nd\) and 2023 \(3rd\); led 70\+ developers at MIT\-WPU Innovation Hub\. Remote\-first and always have been\. Open to AI Engineer and Forward Deployed Engineer roles in any sector\. mann\.pandya\.18@gmail\.com · github\.com/mannpandya1702

## Location

Bengaluru

## AI stack

claude code

claude

codex

elevenlabs

gemini

openai

## Work experience

AI Engineer at ClinicPro\.ai, Jan 2026 \- Present · 11 mos, Remote, Forward\-deployed AI engineer on a multi\-tenant voice AI platform — 500\+ live interactions a day across clinic tenants\. I own the voice server, the customer\-facing SaaS platform, and every API and third\-party integration we ship, and I work directly with clients from demo to rollout\. • Built the self\-hosted Pipecat voice server \(FastAPI, Gemini Live speech\-to\-speech, Telnyx \+ WebRTC transports; patched Pipecat fork\) and the web platform clients use to configure and monitor their agents • Shipped production agents on Vapi and Twilio — SIP trunking, DTMF, warm transfers, multilingual, number provisioning across US/India/UAE • Integrated 8\+ third\-party systems with no public API by reverse\-engineering their web clients via HAR analysis, plus direct FHIR integrations for booking, cancellation, rescheduling and intake • Orchestrate multi\-step agent workflows with LangGraph: branching on intent, persisting state across turns, interrupting for human approval on low\-confidence and high\-risk intents • Built the agent evaluation layer: 340\+ adversarial tool\-chain tests and persona\-driven multi\-turn tests asserting both responses and tool\-call arguments against live agents; own the full Playwright E2E suite • Led the platform architecture audit \(agent prompts, Supabase schema and security, n8n \+ GoHighLevel automations, integration adapters, CI/CD, HIPAA\) and the phased reliability roadmap now in execution • Built a cross\-sub\-account SMS bridge \(n8n \+ GoHighLevel API\) that kept client messaging live after a carrier campaign suspension • Deploy and operate services on GCP; diagnose failures across the LLM, telephony and API layers under live traffic • Tuned intent classification and entity extraction across booking flows — cut missed appointments 40% and clinic admin workload 60% • Run demos and requirement\-gathering calls with clients; turn them into agent specs, integrations and rollout plans

Junior AI Engineer &amp; Web — Developer at ReechX, Oct 2025 \- Jan 2026 · 4 mos, Remote, • Design, develop, and deploy AI/ML models for automation, prediction, and data\-driven insights\. • Build and integrate AI algorithms into scalable web applications using React\.js, Flask, or Django\. • Handle data pre processing, cleaning, and visualization to support model training and evaluation\. • Implement and optimize RESTful APIs ensuring seamless communication between AI modules and web systems\. • Manage version control, documentation, and deployment pipelines, while staying updated on emerging AI and web technologies

Artificial Intelligence Engineer at NuMinds AI, Jun 2025 \- Sep 2025 · 4 mos, Remote, • Collaborated on AI model development and data pre processing for automation projects\. • Enhanced system performance by optimizing training data pipelines and tuning hyperparameters\. • Contributed to research on computer vision and NLP model integration for product improvement\.

Cyber Researcher Analyst at DeepCytes Cyber Labs \(UK\), Jan 2025 \- Mar 2025 · 3 mos, Mumbai, Maharashtra, India, • Designed and deployed AI\-driven systems for threat intelligence and cyber risk mitigation\. • Developed automated tools for real\-time threat detection using LLMs and data analytics\. • Led research on emerging cybersecurity trends and built defense models for vulnerability prediction\. • Contributed to an AI\-based Learning Management System for cybersecurity training\.

CSE Committee Member at Innovation Hub \( Student's Innovation Council MIT WPU\), Aug 2023 \- Dec 2024 · 1 yr 5 mos, • Lead a team of 70\+ developers, providing mentorship and project direction\. • Delivered custom software solutions for clients including Capgemini and the Indian Army, ensuring 100% on\-time delivery\. • Organized weekly sessions on Data Structures &amp; Algorithms, improving members’ problem\-solving skills by 50%\. • Initiated and executed 5\+ major software projects, enhancing productivity across the team\.

CSE Team Member at Innovation Hub \( Student's Innovation Council MIT WPU\), Oct 2022 \- Dec 2024 · 2 yrs 3 mos, Pune, Maharashtra, India

## Education

Bachelor of Technology, Computer Science, MIT World Peace University

Resonance Eduventures Limited

## Public links

- github: https://github\.com/mannpandya1702

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

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