---
title: "Dhruvil Mistry - AI/ML Intern in Mumbai | Tal"
description: "Meet Dhruvil Mistry, AI Engineer| Prototype to Production: RAG, LLMs, Agents | OpenAI × Outskill Hackathon (Top 1,000) | NextJS · FastAPI · LangChain | Ex-AI/ML Intern @ Infosys Springboard based in Mumbai."
image: "https://tal.club/meet/dhruvil/share-image"
---

# Dhruvil Mistry on Tal

## Headline

AI Engineer\| Prototype to Production: RAG, LLMs, Agents \| OpenAI × Outskill Hackathon \(Top 1,000\) \| NextJS · FastAPI · LangChain \| Ex\-AI/ML Intern @ Infosys Springboard

## About

I build AI systems that solve real problems, not the demos\. Since then I've shipped: → Minutz — browser native WebRTC audio interceptor inside Chrome, no bot, no notifications\. FastAPI → ffmpeg → Whisper → GPT 4o, returning summaries and action items in \~60 seconds\. Selected at the OpenAI x Outskill Hackathon out of 1,000 teams\. → LegalMind — agentic RAG pipeline over legal documents\. Qdrant, recursive chunking, 12 parallel async LLM extraction tasks, hallucination checks built into the loop\. Targeting source backed risk analysis on 50 page contracts under 30 seconds\. → Saral AI— low latency AI voice receptionist for Indian MSMEs using WebSocket streaming, Sarvam AI Indic STT/TTS, and RAG over business knowledge bases\. Targeting sub 1\.2 second response time end to end\. I think about latency, hallucination rates, retrieval quality, and whether something actually holds up outside a demo environment\. Stack: Python · FastAPI · LangChain · LlamaIndex · Qdrant · OpenAI/Anthropic/Gemini APIs · Whisper · Next\.js · Supabase · Docker · AWS · 2026 graduate, Mumbai\. Looking for AI engineering roles at early stage startups where the work actually ships — seed to Series A, remote or Mumbai\. Reach me at dhruvilmistry16@gmail\.com — I reply fast\.

## Location

Mumbai

## Work experience

AI/ML Intern at Infosys Springboard, Sep 2025 \- Nov 2025 · 3 mos, India, • Performed data preprocessing, cleaning, and feature engineering using Python to prepare structured and unstructured datasets for modeling • Developed and experimented with machine learning models using libraries like Scikit\-learn and TensorFlow for predictive and analytical tasks • Applied Natural Language Processing \(NLP\) techniques including sentiment analysis, text classification, and keyword extraction to derive insights from textual data

Software & IoT Intern at Robokart\.com, Jun 2022 \- Aug 2022 · 3 mos, On\-site, • Gained hands\-on experience in electronics and embedded programming during the Robokart internship\. • Worked with electronic components and breadboard\-based circuit prototyping\. • Built projects using sensors, output devices, and microcontroller boards\. • Developed proficiency in Arduino IDE and Arduino UNO programming\. • Explored IoT development using ESP8266 \(Node WiFi module\) and L293D motor driver IC\. • Gained practical exposure to Raspberry Pi, 3D printing, and 3D engraving technologies\.

## Education

Bachelor of Engineering \- BE, Electrical, Electronics and Communications Engineering, MCT's Rajiv Gandhi Institute Of Technology

Diploma of Education, Electrical and Electronics Engineering, thakur polytechnic

[View the original profile](https://tal.club/meet/dhruvil)

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