---
title: "ROHAN KUMAR DAS - ML Team Lead in Bhubaneswar | Tal"
description: "Meet ROHAN KUMAR DAS, Quantum Computing Intern @ QRACE | Ex-Summer Intern @IIT Guwahati | ML Lead @KIIT Robotics Society | ML Team Member @AISOC | 2x Hackathon Winner based in Bhubaneswar. AI stack includes aistudio, anthropic apis, and antigravity. Explore public work links including github."
image: "https://tal.club/meet/rohan-kumar-das/share-image"
---

# ROHAN KUMAR DAS on Tal

## Headline

Quantum Computing Intern @ QRACE \| Ex\-Summer Intern @IIT Guwahati \| ML Lead @KIIT Robotics Society \| ML Team Member @AISOC \| 2x Hackathon Winner

## About

I am a dedicated and versatile technologist with a strong foundation in C and Python\. Currently, I am expanding my programming skills by learning Java\. My interests lie in Artificial Intelligence and Machine Learning, fields where I possess a solid grounding and a desire to delve deeper in the future\. I am deeply passionate about AI, machine learning, and their applications in cutting\-edge technology, particularly in the development of advanced weaponry\. Currently, I am focused on mastering deep learning, generative AI, and Java, as these technologies play a crucial role in building intelligent and autonomous systems\. My goal is to integrate these skills to develop state\-of\-the\-art weaponry and defense systems that enhance strategic capabilities\. I am eager to collaborate with experts and organizations pushing the frontier of AI\-driven military technology\. Let's connect and shape the future of defense together\.

## Location

Bhubaneswar

## AI stack

aistudio

anthropic apis

antigravity

claude code

claude

codex

## Work experience

ML Team Lead at KIIT ROBOTICS SOCIETY, Jan 2026 \- Present · 8 mos

Artificial Intelligence Intern at MedEvidences, Nov 2025 \- Present · 10 mos, Remote

ML Team Member at AISoC, Mar 2025 \- Present · 1 yr 6 mos, Bhubaneswar, Odisha, India

Research Intern at QRACE\-QUANTUM RESEARCH AND CENTRE OF EXCELLENCE, Jul 2026 \- Aug 2026 · 1 mo, Delhi, India

Summer Research Intern at Indian Institute of Technology, Guwahati, May 2025 \- Jun 2025 · 2 mos, Guwahati, Assam, India, While implementing and analyzing the TinyCLIP framework, I recognized a limitation in the use of contrastive loss\. Contrastive loss, although powerful for aligning image–text pairs, assumes all incorrect \(negative\) pairs are equally dissimilar, applying a uniform penalty\. This uniformity can overlook \*\*hard negatives\*\*—non\-matching pairs that are semantically close to the anchor—leading to insufficient separation in the learned embedding space\. To address this, I replaced the contrastive loss with a triplet loss function, inspired by metric learning techniques used in face recognition \(e\.g\., FaceNet\)\.

ML Team Member at KIIT ROBOTICS SOCIETY, Nov 2024 \- Feb 2026 · 1 yr 4 mos

## Education

Bachelor of Technology \- BTech, Computer Science, Kalinga Institute of Industrial Technology, Bhubaneswar

Doon International school

## Public links

- github: https://github\.com/a34656

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

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