I build software
for the
internet.
I'm a senior software engineer with a Master's in CS from the University at Buffalo and 5+ years of experience building scalable backend systems and intuitive frontends. I love solving real-world problems and enjoy working across the stack, especially at the intersection of backend, infra, and AI.
Discover projects
Technologies
language-pythonPython
language-javaJava
language-typescriptTypeScript
databaseNoSQL
map-markerBased inSan Mateo, CA
Work Experience
"Migrated a monolithic logistics/WMS platform (PHP) to Spring Boot microservices on AWS ECS + Fargate, enabling elastic scaling, zero-downtime rollouts, and real-time data sync via Kafka."
SDE II, Dealshare | Mar 2022 - Aug 2023 | Bangalore, India
"Enhanced Next.js and React.js application security with bot protection, reCAPTCHA, OWASP-compliant input validation, XSS/SQL injection safeguards, rate limiting, and PCI-compliant API design."
Senior Software Engineer, Chqbook | Jun 2020 - Mar 2022 | Gurugram, India
"Improved query execution times and indexing strategies for high-volume MySQL and PostgreSQL database systems, reducing response times by 30% and enhancing data retrieval performance."
Software Engineer, Bijnis | Jun 2019 - Jul 2020 | New Delhi, India
"Led the development and launch of an e-commerce platform from zero to one as an early engineer with Angular, TypeScript, Node.js, and AWS, implementing SSR and A/B testing to ensure smooth migration without impacting SEO rankings."
Software Engineer, DailyObjects | Aug 2018 - Jun 2019 | Gurugram, India
Curated Work
Things I've built from the ground
Secure Vault, 2025 - In Progress
Secure Vault: The Only Key Is You
Secure Vault is a privacy-focused application designed to safeguard your passwords, documents, and other confidential information. It's built with end-to-end encryption, ensuring that only you have access to your data. We never have access to your passwords or sensitive information.
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Road Analysis and Damage Assessment Research (RADAR), 2024
RADAR: Road Analysis and Damage Assessment Research
It's a research project where we fine-tuned and implemented state-of-the-art models like DINOv2 and SegFormer for damage detection in road images. The project lets users train models on given dataset and run inference to detect and identify damage areas in road images.
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Upvoice, 2024
Join UpVoice: Voice concerns for transparency and accountability.
A web-app that provides a platform for citizens to voice concerns directly to company stakeholders, fostering transparency and accountability.
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Bitnet 1.58B, 2024
Bitnet 1.58b: 1-bit LLM for efficient training and collaboration.
Bitnet 1.58b: This project implements the innovative 1-bit LLM architecture described in recent whitepapers, focusing on efficient training, inference, and open-source collaboration.
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Forecasting Mental WellBeing, 2024
Forecasting Mental WellBeing: A data-driven approach to mental health.
This project aims to forecast mental well-being using data-driven approaches, leveraging machine learning and statistical methods to provide insights into mental health trends.
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