Pranam Shetty

Rochester, NY

AI Developer. ML Engineer. I finetune models, build scalable pipelines and automate workflows.

What I work with

Experience

AI Engineer Intern

May 2025 - Present

United States

Conducting research on LLM performance and applicability to investment and wealth advisory work.

ML Engineer Intern

June 2023 - Aug 2023

India

Developed deep learning models for financial stock prediction and real-time data visualization.

Knowledge Solutions

ML Research Intern

Sept 2021 - Nov 2021

India

Built and optimized ML pipelines for insurance claim cost prediction and big data processing.

Laugh Out Loud Ventures

SEO Analytics Intern

Feb 2020 - March 2020

India

Managed digital advertising strategies to optimize conversions for educational courses.

Open Source Contributor

Jun 2024 - Now

I actively try to contribute to Open Source on my GitHub

Projects

Hugo Noir

Hugo Noir

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Emergency Travel Response System

Emergency Travel Response System

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Blogs

2025-09-07

Attention Is Not All You Need. It's How You Need It.

Jet-Nemotron rethinks AI by using attention only when necessary, dramatically boosting speed and accuracy compared to traditional full-attention models.

2025-08-23

Are LLMs Needlessly Huge? Extreme Compression of LLMs using Quantum Inspired Tensor Networks

Presents a novel approach called CompactifAI by Multiverse Computing, which uses quantum-inspired tensor networks to drastically compress LLMs with minimal loss in accuracy.

2025-08-16

How AI Models Train on Private Data Without Accessing It: Federated Learning Explained

Federated Learning (FL) enables AI models to be trained on distributed data without centralizing sensitive information. Instead of collecting data in one location, FL sends model copies to local devices where they train on private data.