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Aarsh Desai

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

Greater Bengaluru Area

3+ years of work experience

Nanonets
Jul 20251 yr 2 mosPresent

Bengaluru

Building AI Agents that get stuff done.
Nanonets
Jan 20257 mosJul 2025

Bengaluru, Karnataka, India

National Institute of Technology Puducherry
Dec 20232 mosJan 2024

Karaikal, Puducherry, India

Worked on Energy-Efficient Classification and Segmentation of Lung Nodules, developing models that enhance computational efficiency without compromising diagnostic accuracy.
VocabAI
Aug 20231 yr 1 moAug 2024

Remote

Developed machine learning and deep learning solutions for speech and text analytics, and further contributed to model deployment.
Indian Institute of Technology, Bombay
May 20231 yr 5 mosSep 2024

Mumbai, Maharashtra, India

Worked on Multimodal data analytics related to speaker diarization, audio processing, emotion, and text processing using data from different learning environments

Aarsh’s AI Stack

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Education

indian institute of information technology dharwad

Bachelor of Technology - BTech, Data Science and Artificial Intelligence

indian institute of information technology dharwad

20214 yrs2025

HSC, Science (PCM)

GD Goenka

20192 yrs2021

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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

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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

Aarsh Desai - Deep Learning Engineer in Greater Bengaluru Area | Tal