Senior Software Engineer @ BrowserStack
AI-Native Engineering · Backend & Platform Systems · LLM Tooling · Developer Productivity · Distributed Systems

LinkedIn · Official GitHub · Personal GitHub · Email · MLH Top 50

I'm a Senior Software Engineer at BrowserStack, working on backend and platform systems for large-scale test automation infrastructure.

My work spans distributed orchestration, reliability, observability, compliance, API design, automation workflows, and engineering productivity. I’m especially interested in AI-native software development — using LLMs, internal tools, and workflow automation to help engineers ship faster, debug better, reduce repetitive work, and build smarter systems.

Previously, I interned at Expedia Group, where I worked on backend services using Java Spring Boot and React. I graduated from Delhi Technological University in Computer Engineering and was named one of Major League Hacking’s Top 50 Hackers of 2023.

• Building reliable backend and platform systems for large-scale automation infrastructure
• Exploring AI-native engineering workflows using LLMs, agents, MCPs, and internal tooling
• Improving developer productivity through automation, tooling, and better engineering workflows
• Working with distributed systems, Redis/Kafka-backed workflows, observability, and production reliability
• Learning more about AI-assisted development, devtools, platform engineering, and system design

Ruby on Rails · Java · Spring Boot · Node.js · Python · REST APIs · WebSockets

Kafka · Redis · Elasticsearch · BigQuery · AWS · Kubernetes · Terraform · CI/CD

LLMs · AI-assisted development · Prompt engineering · MCPs · Internal tools · Developer productivity workflows

Selenium · Appium · Playwright · Cypress · Puppeteer

• Led development of AI Mobile Self-Healing for mobile automation, scaling usage to 24,000+ sessions with 38.8% month-over-month growth
• Improved platform reliability by designing a modular Hub/Rails pipeline, reducing production downtime by 30%
• Built browser profiling support for process-level CPU and memory visibility
• Worked on compliance-focused geo-region restriction systems for customer PII and test session logs
• Delivered enterprise-enabling automation capabilities across Playwright, Safari, and BrowserStack Automate
• Built and promoted AI/LLM-assisted workflows to improve engineering productivity across debugging, PR reviews, RCA, alert analysis, and repetitive development tasks

• ProctorLy — AI-based proctorless examination system
• Aariaabhi — GenAI-powered sustainable commerce platform
• Video Popularity Prediction — ML model for predicting video views using metadata

• News Dribble — NBA news, standings, upcoming games, NFTs, and fan engagement
• Green Commerce — Sustainable product scoring and recommendation system
• GreenCharge Mobilothon — Django, blockchain, and ML-based sustainability project

• Health Expense Planner
• Interview Scheduler
• OMDb API Connector - Microsoft Power Platform
• ORB Intelligence Connector - Microsoft Power Platform
• Power Apps Sample Contribution

• MLH Top 50 Hacker of 2023
• Flipkart Grid 5.0 National Finalist
• HackWithInfy 2022 Finalist
• Gold Microsoft Learn Student Ambassador
• Stibo Systems India Hackathon Winner

• Integrating Power Apps with Azure Machine Learning & OpenAI
• Microsoft Reactor Session
• Microsoft 365 & Power Platform Community Talk

GitHub Contributions

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Building reliable systems, AI-native workflows, and tools that help engineers move faster.