---
title: "Arnav Patil - Machine Learning Intern in Bengaluru | Tal"
description: "Meet Arnav Patil, ML Engineer | GenAI | Deep Learning & RAG | Building Scalable, Thoughtful AI Systems based in Bengaluru. AI stack includes cursor, langchain, and langgraph. Explore public work links including github."
image: "https://tal.club/meet/arnav-patil/share-image"
---

# Arnav Patil on Tal

## Headline

ML Engineer \| GenAI \| Deep Learning &amp; RAG \| Building Scalable, Thoughtful AI Systems

## About

As a final\-year B\.Tech student in Digital Transformation, I work closely with machine learning and GenAI, with a strong focus on deep learning, agentic systems, and retrieval\-based models\. My interests lean toward technically demanding problems that call for depth and strong technical judgment, as I care a lot about how systems are designed and the decisions that shape them\. I value environments that reward curiosity and technical depth, and I’m always open to conversations with people building ambitious, thoughtful AI\. Also, 'I'm whatever LinkedIn needs me to be' ;\)🦇🦹

## Location

Bengaluru

## AI stack

cursor

langchain

langgraph

openai

## Work experience

Machine Learning Intern at Atria University \- Al &amp; Decentralized Technologies, May 2025 \- Aug 2025 · 4 mos, Bengaluru, Karnataka, India, Engineered U\-Net deep learning model using PyTorch for 9x thermal super\-resolution, optimized for NVIDIA A100 GPUs to resolve sub\-grid gradients in obstructed regions via cloud\-masking and normalization\. Achieved model RMSE of 3\.27K outperforming traditional bicubic interpolation baselines, validating deep learning viability for high\-resolution climate modeling and Urban Heat Island analysis\.

Research Assistant and Teaching Fellow at Naxxatra Sciences and Collaborative Research, Apr 2024 \- Jun 2024 · 3 mos, Bengaluru, Karnataka, India, Developed UGC\-compliant Data Science curriculum covering foundational statistics, Python, and data analysis for high school students, delivering 50\+ hours of technical workshops to 200\+ students\. Built an LLM\-based automated assessment system for evaluating assignments and code submissions, reducing manual grading time by 85% and enabling real\-time feedback delivery across multiple cohorts\.

## Education

Bachelor of Technology \- BTech, Interactive Technology, Atria University

## Public links

- github: https://github\.com/arnavp27

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

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