---
title: "Arnav Jalan - Founder in Noida | Tal"
description: "Meet Arnav Jalan, Ex Bain & Co. | CSE with specialization in Data Science @ Shiv Nadar University | Computer Vision Enthusiast based in Noida. AI stack includes anthropic apis, antigravity, and claude code."
image: "https://tal.club/meet/arnav-jalan/share-image"
---

# Arnav Jalan on Tal

## Headline

Ex Bain &amp; Co\. \| CSE with specialization in Data Science @ Shiv Nadar University \| Computer Vision Enthusiast

## About

Machine learning and data science, with a foot in business strategy \- most recently in semiconductors and AI hardware at Bain\.

## Location

Noida

## AI stack

anthropic apis

antigravity

claude code

claude

github copilot

hugging face

## Work experience

Founder at SAI Cryogenics, May 2023 \- Present · 3 yrs 5 mos, Punjab, India, ● Co\-founded and scaled a 100 m³/day medical oxygen Air Separation Plant to ₹50L \(\~$56K\) in annual revenue amid post\-pandemic supply chain disruption, leading a 10\-person team across regional operations to serve 10–15 hospital networks and B2B suppliers ● Engineered a demand\-forecasting system \(XGBoost \+ LSTM on real\-time IoT tank telemetry, DDMRP zone\-based forecasting\) that dynamically recalculates reorder points, cutting average stockouts by 70% ● Built a route\-optimization engine \(GNNs \+ MILP solvers via Google OR\-Tools\) implementing milk\-run routing and cross\-docking logistics, reducing delivery transit time by 10% and fuel costs by 7%

Analyst Intern \(Semiconductors\) at Bain &amp; Company, Jan 2026 \- Jul 2026 · 7 mos, Gurugram, ● Co \- authored on of Bain's most\-read internal POV on the "AI Supercycle," building scenario models in Excel and Python to size DRAM/NAND shortage impact across downstream sectors; informed hardware strategy at Fortune 500 device makers and hyperscale firms\. ● Consolidated Gartner, Omdia and IDC datasets using SQL and Alteryx to produce 3 client\-ready deliverables on semiconductor equipment and foundry capacity markets, covering competitive benchmarking and market sizing \(TAM/SAM/SOM\)\.

Teaching Assistant at Shiv Nadar University, Aug 2025 \- Dec 2025 · 5 mos, Teaching Assistant for Discrete Mathematics Course for Monsoon 2025 semester: \- Conducted tutorials for younger batches\. \- Solved Doubts regarding various topics\. \- Occasionally graded assignments and quizzes\.

Section Leader at Code in Place, Apr 2025 \- Jun 2025 · 3 mos, Stanford, California, United States, \- Lead a section of students in Code In Place \- Taught basic to complex Python Concepts to students

Research Intern at Shiv Nadar University, Sep 2024 \- Jan 2026 · 1 yr 5 mos, ● Designed a computer vision pipeline for intrinsic image decomposition, replacing primitive clustering with Graph Neural Networks \(GNNs\) for superior segmentation, and integrating advanced preprocessing \(histogram equalization, adaptive chromaticity/exposure correction\)\. ● Outperformed state\-of\-the\-art and baseline models by 5% on LMSE/RMSE/SSIM \(Albedo\) and 30%\+ on shading metrics, validated across 3 benchmark datasets\.

Content Lead \- Sports Committee at SNU Sports Committee, Mar 2024 \- Mar 2025 · 1 yr 1 mo, Shiv Nadar University, Lead the team of students responsible for delivering all sports related content and news related to the department of sports\. \- Covering under college sports events by making the content more interactive\. \- Boosted student engagement through incentive driven ideas\. \- Highlighted the importance of athletes in college through personal stories which further increased participation in sports\. \- Created a fun and enjoyable working environment for my fellow teammates\. \- Helped implement some of my own personal ideas for sports committee in general\.

## Education

Bachelor of Technology \- BTech, Computer Science, Shiv Nadar University

Sri Guru Harkrishan Model School \- India

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

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