Arnav Jalan profile photo 1 on Tal

Arnav Jalan

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

Noida

3+ years of work experience

May 20233 yrs 5 mosPresent

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%
Bain & Company
Jan 20267 mosJul 2026

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).
Shiv Nadar University
Aug 20255 mosDec 2025

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.
Code in Place
Apr 20253 mosJun 2025

Stanford, California, United States

- Lead a section of students in Code In Place - Taught basic to complex Python Concepts to students
Shiv Nadar University
Sep 20241 yr 5 mosJan 2026

● 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.
SNU Sports Committee
Mar 20241 yr 1 moMar 2025

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.

Arnav’s AI Stack

anthropic apis
anthropic apis
antigravity
antigravity
claude code
claude code
claude
claude
github copilot
github copilot
hugging face
hugging face

Education

Shiv Nadar University

Bachelor of Technology - BTech, Computer Science

Shiv Nadar University

20224 yrs2026

Sri Guru Harkrishan Model School - India

20202 yrs2022

Join Arnav and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Arnav Jalan on Tal

Headline

Ex Bain & 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 & 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