---
title: "Samar Singh Rathore - Machine Learning Research Intern in Greater Delhi Area | Tal"
description: "Meet Samar Singh Rathore, Software Engineer | Machine Learning & AI | Ex-ML Intern @ IIT Delhi | Ex-ML Intern @ GGSIPU | Deep Learning, NLP, Scalable Systems | Python, Java based in Greater Delhi Area. AI stack includes antigravity and codex."
image: "https://tal.club/meet/samar-singh-rathore-1/share-image"
---

# Samar Singh Rathore on Tal

## Headline

Software Engineer \| Machine Learning & AI \| Ex\-ML Intern @ IIT Delhi \| Ex\-ML Intern @ GGSIPU \| Deep Learning, NLP, Scalable Systems \| Python, Java

## About

Software Engineer with strong experience in Machine Learning, working at the intersection of scalable systems and intelligent applications\. Currently a Machine Learning Intern at GGSIPU and previously at IIT Delhi, where I have worked in research\-driven environments on real\-world data problems\. My experience includes building machine learning models, working with large datasets, and contributing to end\-to\-end systems — from data processing to model evaluation and deployment workflows\. I bring a combination of: • Strong fundamentals in Data Structures, Algorithms, and core Computer Science • Hands\-on experience with machine learning systems and data\-driven problem solving • Ability to write clean, production\-level code and work in Linux\-based environments I’m particularly interested in roles that combine software engineering with machine learning — where systems, scalability, and intelligence come together\. Currently exploring opportunities in: Software Engineering \| Machine Learning Engineering \| Backend Engineering If you're building impactful technology, I’d be glad to connect\.

## Location

Greater Delhi Area

## AI stack

antigravity

codex

## Work experience

Machine Learning Research Intern at Guru Gobind Singh Indraprastha University \(GGSIPU\), Delhi, Jan 2026 \- Jun 2026 · 6 mos, Delhi, India, • Researched ML\-driven approaches, optimizing solar panel placement using geospatial data and spatial analytics\. • Built geospatial data pipelines for large\-scale analysis, experimentation, and model development\. • Applied quantum\-inspired optimization techniques to infrastructure planning and resource allocation problems\.

Machine Learning Engineer at Indian Institute of Technology, Delhi, Jun 2025 \- Dec 2025 · 7 mos, New Delhi, Delhi, India, • Contributed to machine learning systems in a research\-driven environment involving real\-world datasets • Worked with deep learning models and data pipelines in Linux\-based environments • Collaborated on experimentation, evaluation, and reproducibility of ML workflows

Research Lead at ACM\-DCE, Sep 2024 \- Oct 2025 · 1 yr 2 mos, Gurugram, Haryana, India, • Led research\-driven initiatives within the ACM chapter, mentoring peers and driving structured problem\-solving across student teams • Collaborated with faculty and members to refine ideas, execute projects, and build a strong culture of technical learning

Software Developer Intern at Copper Digital, Jun 2024 \- Jul 2024 · 2 mos, Gurugram, Haryana, India, • Developed frontend components and contributed to production\-level systems • Worked with Linux tools, scripting, and debugging workflows in a fast\-paced environment

## Education

Bachelor of Technology \- BTech, Computer Science, Dronacharya College of Engineering

St\. Marks senior secondary public school

[View the original profile](https://tal.club/meet/samar-singh-rathore-1)

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