---
title: "Arthit Saha - Product Management Intern in New Delhi | Tal"
description: "Meet Arthit Saha, Building Products with AI based in New Delhi. AI stack includes claude code, claude, and codex. Explore public work links including github."
image: "https://tal.club/meet/arthit-saha/share-image"
---

# Arthit Saha on Tal

## Headline

Building Products with AI

## About

Hello there\! I'm currently pursuing my Bachelor's in Mechatronics at Manipal Institute of Technology, where my fascination lies in the realms of Generative AI and Machine Learning\. 🎓 As a final year student, I am deeply engaged in understanding the intricate interplay between technology and innovation, especially in the dynamic field of AI\. My coursework has equipped me with a strong foundation in mechatronics principles, which I combine with my avid interest in emerging technologies\.

## Location

New Delhi

## AI stack

claude code

claude

codex

hugging face

ollama

claudecode

## Work experience

Product Management Intern at Qure\.ai, Sep 2025 \- Jun 2026 · 9 mo, Bengaluru, • Drove end\-to\-end execution for multiple AI product initiatives, workflows, complaint handling, and localization\. Improving operational scalability across 1300\+ global deployments\. • Translated field feedback, QA inputs, Jira tickets, and usage analytics into PRDs, rollout workflows, and stakeholder\-ready documentation, directly shaping engineering priorities and roadmap decisions\. • Analyzed adoption and usage trends across product lines to identify gaps, prioritize improvements, and support data\-driven product decisions for qTrack and qXR\. • Collaborated cross\-functionally with engineering, QA, and implementation teams to define requirements, validate AI feature behavior, and improve release readiness\.

AI Tools Intern at SuperKalam \(YC W23\), Oct 2024 \- Feb 2025 · 5 mos, Bengaluru

Summer Intern at BioQube Inc\., May 2024 \- Jul 2024 · 3 mos, Gurugram, • Designed and shipped an AI voice chatbot for a medical application, improving customer interaction and service accessibility — combining product intuition with hands\-on AI development\. • Built and deployed a RAG\-based system using Llama3, LlamaIndex, ChromaDB, and Flask REST APIs, achieving 95% speech recognition accuracy and supporting 1,000\+ user conversations\.

## Education

Bachelor of Technology, Mechatronics, Robotics, and Automation Engineering, Manipal institute of technology

High School Diploma, Delhi Public School Noida

## Public links

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

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

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