---
title: "Satyajeet Kumar - Data Science Intern in Jamshedpur | Tal"
description: "Meet Satyajeet Kumar, Ex-Data science intern @SquadStack.ai | NIT JSR’26|Machine Learning |Deep Learning |Computer Vision| NLP |Generative AI |LLMs based in Jamshedpur. AI stack includes antigravity and codex."
image: "https://tal.club/meet/satyajeet-kumar/share-image"
---

# Satyajeet Kumar on Tal

## Headline

Ex\-Data science intern @SquadStack\.ai \| NIT JSR’26\|Machine Learning \|Deep Learning \|Computer Vision\| NLP \|Generative AI \|LLMs

## About

I am a B\.Tech graduate from NIT Jamshedpur interested in Data Science, Machine Learning, and Generative AI\. I enjoy working on problems where data and AI can be used to build practical solutions and create real impact\. Currently, I am working as a Data Science Intern at SquadStack\.ai, where I've been involved in building multimodal ML systems, working with speech and text data, and evaluating LLMs for real\-world business applications\. Over the past few years, I have worked on projects involving NLP, Computer Vision, RAG systems, and Deep Learning\. I like exploring how modern AI techniques can be applied to solve everyday challenges, whether it's improving learning experiences, understanding conversations, or extracting insights from data\. I'm always interested in learning, building, and collaborating on meaningful AI and data\-driven projects\.

## Location

Jamshedpur

## AI stack

antigravity

codex

## Work experience

Data Science Intern at SquadStack\.ai, Jan 2026 \- Jun 2026 · 6 mos, Goa, India, As a Data Science Intern at SquadStack\.ai, I worked on developing AI and machine learning solutions for call\-center operations\. My primary project involved building a multimodal Right Time to Call \(RTTC\) prediction system using CRM data, call transcripts, and audio recordings to predict lead pickup probability and optimize calling schedules\. I developed feature engineering pipelines leveraging OpenAI embeddings and SpeechBrain Conformer models, designed deep learning architectures for predictive modeling, and contributed to improving model performance through experimentation and evaluation\. Additionally, I built an automated LLM evaluation framework \(LLM\-as\-a\-Judge\) to benchmark production and open\-source language models on real customer conversations, enabling data\-driven model selection\. Through this internship, I gained hands\-on experience in machine learning, deep learning, NLP, Generative AI, feature engineering, model evaluation, and building end\-to\-end AI solutions for real\-world business problems\.

## Education

Bachelor of Technology, Engineering and Computational Mechanics, National Institute of Technology Jamshedpur

10, High School, Jawahar Navodaya Vidyalaya \- JNV

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

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