I'm a software engineer who cares deeply about craft and user experience. I started as an electrical engineering student who fell in love with code, and have since built products used by millions — from optimizing one of the world's most popular developer tools to publishing ML research and shipping apps to the Play Store.
PO
Postman
Software Development Engineer (Full-stack), Jun 2021 – Present
I work on Postman, one of the world's most loved and ubiquitous developer tools with millions of daily users and strong triple-digit millions in revenue. I've shipped performance-critical optimizations, owned core UI infrastructure, and helped scale the platform for large enterprise customers.
- Reduced the first load time of the app by 90% by redesigning the application for a lazy loading approach — this contributed to a month-over-month reduction in client churn by 0.85% at a $100M ARR scale
- Increased user engagement on the app sidebar by 18% by implementing bulk operations functionality
- Owned and delivered a base sidebar component instrumental in rolling out the API platform to large enterprise customers
- Adopted micro-frontend architecture to support cross-platform deployment with improved app performance
WI
Wint Wealth
Full-stack Intern, Jan 2021 – Apr 2021
Interned at India's pioneer fintech company, building consumer-facing products that made fixed-income investing more accessible.
- Developed a dynamic blogging website for Wint Wealth
- Streamlined the user journey for investments, enhancing the accessibility and ease of the main user action
CA
Caltech, Pasadena
Research Intern, May 2020 – Jul 2020
Spent a summer at Caltech working on machine learning approaches to classify astronomical objects from light-curve data.
- Designed an ML-based approach to classify light-curve data into 17 astronomical classes
- Classified phased light curves with an accuracy of 98%
CA
Capgemini, India
IoT Intern, May 2019 – Jul 2019
Built an end-to-end IoT solution for industrial safety — detecting employees not wearing helmets using computer vision.
- Coded a Django dashboard to display logs and manage the product over time
- Achieved 90% accuracy in localizing number plates and detecting helmets
Devdose— Making upskilling fun and easy
Deployed a Play Store app focused on providing software developers with an enjoyable way to upskill through short-form tech content. Built with Flutter, Neopop, and Glassmorphic design. Backend and data pipelines powered by Firebase and Python.
OSSIA CUDA Controller
Spearheaded the design and implementation of a microservice architecture for monitoring IoT devices that offer power-as-a-service. Integrated Kafka (Confluent Cloud), Python, NodeJS, React, and TypeScript for a scalable system.
Chatbot for Depression Counselling
Implemented a chatbot capable of intelligently deciding to generate either professional medical advice or a general empathetic response based on the context of conversation. Achieved 90% classifier accuracy and a BERT score of 0.83. Published findings at the ACM India CODS-COMAD conference.
Taskflow— Open source contribution
Contributed to Taskflow, a parallel programming system. Ensured correctness in GPU (CUDA) and asynchronous running setups.
Campus Employment Portal
Developed a job posting portal for students of IIT Gandhinagar using MongoDB, React, and NextJS.
Dynamic Display— Automatic presentation generator
Built a web application that generated presentations from a database of scheduled talks. Used NodeJS, Express, and EJS.