---
title: "Yash Choudhary - Software Engineer in Bengaluru | Tal"
description: "Meet Yash Choudhary, Software Engineer @PhonePe | Backend & Distributed Systems | IIT Dhanbad EE’25 | Knight @LeetCode 2065 | Expert @Codeforces 1634 | 5 ⭐️ Codechef | Kaggle Competition Master | Ex AI Research Intern Lexsi Labs based in Bengaluru. AI stack includes antigravity, claude code, and co..."
image: "https://tal.club/meet/yash-choudhary/share-image"
---

# Yash Choudhary on Tal

## Headline

Software Engineer @PhonePe \| Backend &amp; Distributed Systems \| IIT Dhanbad EE’25 \| Knight @LeetCode 2065 \| Expert @Codeforces 1634 \| 5 ⭐️ Codechef \| Kaggle Competition Master \| Ex AI Research Intern Lexsi Labs

## About

I love continuously learning and advancing my skills in software development\. I enjoy exploring new ideas and working on innovative projects\. With proficiency in Python, JavaScript, React, Node\.js, Core Java, Java frameworks, C\+\+, and Docker, AWS, I am proficient in web development and DevOps\. Passionate about creating scalable, efficient solutions and contributing to impactful tech projects\. Always eager to learn more\.

## Location

Bengaluru

## AI stack

antigravity

claude code

codex

cursor

gemini

github copilot

## Work experience

Software Engineer at PhonePe, Jun 2025 \- Present · 1 yr 6 mos, Bengaluru, • Architected and deployed Battery Management System, a real\-time Kafka event processing pipeline from scratch,consuming 30M\+ daily heartbeat events at ∼350 RPS from 3M\+ devices, enriching telemetry via PinotDB, and enabling proactive battery degradation detection and health alerts for merchant devices\. • Designed and implemented an inventory and device state management workflow using Flipkart’s DataBuilder framework with async RMQ processing and Airflow/Spark reconciliation, deployed across 12\+ revenue\-critical device lifecycle flows, eliminating anomalies for 250K\+ merchants\. • Enabled high\-availability for a Tier\-1 service by implementing active\-active multi\-datacenter deployment with disaster recovery drills, achieving 99\.99% uptime and reducing RTO by 95%

Co\-Founder at Veyrisse Estates, Nov 2024 \- Present · 2 yrs 1 mo, Ahmedabad

AI Research Intern at Lexsi Labs, Feb 2025 \- Jul 2025 · 6 mos, Mumbai, Fine\-tuned Transformer\-based models \(BERT, GPT\-2\) and GANs on diverse datasets \(textual, tabular, image\) using PyTorch, improving task\-specific accuracy by \~18%; deployed inference pipelines on AWS with sub\-200ms latency for production serving\. Implemented AI explainability \(SHAP, Attention Visualization\) and safety alignment techniques, evaluated 5\+ DL architectures across business use cases, and collaborated with MLEs to ship models from experimentation to stable production reducing model drift incidents by 35%\.

Kaggle Competition Expert at Kaggle, Jan 2024 \- Sep 2024 · 9 mos

Fintech\(IIT ISM\) Member at FinTech Club, IIT ISM, Mar 2022 \- Jan 2025 · 2 yrs 11 mos, Dhanbad, Jharkhand, India, Collaboratively organized and managed events of the Fintech Club in Technical Fest of IIT \(ISM\) Dhanbad Concetto 2022 including Tradathon \(40k\+ participants\) and Businellytics \(10k\+ participants\)\.

## Education

Bachelor of Technology \- BTech, Electrical and Electronics Engineering, Indian Institute of Technology \(Indian School of Mines\), Dhanbad

Minor, Marketing Management, Indian Institute of Technology \(Indian School of Mines\), Dhanbad

## Public links

- github: https://github\.com/yash52003

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

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