---
title: "Aarsh Desai - Deep Learning Engineer in Greater Bengaluru Area | Tal"
description: "Meet Aarsh Desai, Building AI Agents @Nanonets | Ex-Research Intern @IIT-B | DSAI ’25 @IIIT-DWD based in Greater Bengaluru Area. AI stack includes opencode and claudecode."
image: "https://tal.club/meet/aarsh-desai/share-image"
---

# Aarsh Desai on Tal

## Headline

Building AI Agents @Nanonets \| Ex\-Research Intern @IIT\-B \| DSAI ’25 @IIIT\-DWD

## About

As a Deep Learning Engineer at Nanonets, my core focus lies in moving AI from passive inference to dynamic, agentic problem\-solving\. My current work centers on architecting multi\-tiered agentic memory systems and building autonomous extraction agents that seamlessly adapt to complex, real\-world user data and feedback\. Beyond engineering agentic workflows, I am deeply invested in the broader impact of applied AI\. My past research spans from optimizing energy\-efficient deep neural networks for medical imaging to building multimodal emotion\-recognition systems that make education more accessible\. This drive for building practical, scalable solutions is rooted in my BTech in Data Science and AI at IIIT Dharwad, where I graduated with the Director's Gold Medal\. I am always eager to connect with fellow engineers, researchers, and innovators who are shaping the next generation of intelligent systems\.

## Location

Greater Bengaluru Area

## AI stack

opencode

claudecode

## Work experience

Deep Learning Engineer at Nanonets, Jul 2025 \- Present · 1 yr 2 mos, Bengaluru, Building AI Agents that get stuff done\.

Deep Learning Intern at Nanonets, Jan 2025 \- Jul 2025 · 7 mos, Bengaluru, Karnataka, India

Deep Learning Intern at National Institute of Technology Puducherry, Dec 2023 \- Jan 2024 · 2 mos, Karaikal, Puducherry, India, Worked on Energy\-Efficient Classification and Segmentation of Lung Nodules, developing models that enhance computational efficiency without compromising diagnostic accuracy\.

MLOps Intern at VocabAI, Aug 2023 \- Aug 2024 · 1 yr 1 mo, Remote, Developed machine learning and deep learning solutions for speech and text analytics, and further contributed to model deployment\.

Research Intern at Indian Institute of Technology, Bombay, May 2023 \- Sep 2024 · 1 yr 5 mos, Mumbai, Maharashtra, India, Worked on Multimodal data analytics related to speaker diarization, audio processing, emotion, and text processing using data from different learning environments

## Education

Bachelor of Technology \- BTech, Data Science and Artificial Intelligence, indian institute of information technology dharwad

HSC, Science \(PCM\), GD Goenka

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

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