
I build high-performance, scalable software solutions that solve complex problems. Currently crafting the future of technology at one of the world's leading companies.

About Me
Hello! I'm a passionate Software Engineer with a proven track record of developing robust and efficient applications. My experience at Google has allowed me to work on projects at a massive scale, focusing on performance, reliability, and user experience.
I thrive in collaborative environments and am always eager to learn new technologies. My goal is to leverage my skills to build products that make a difference.
My Skills
Professional Experience
1
Senior Software Engineer
Google | 2022 - Present
- Architected & Led development of compliance features like CMEK, designing and implementing secure encryption solutions that ensured compliance with industry standards, protecting sensitive enterprise data
- Developed and implemented a Retrieval-Augmented Generation (RAG) based internal tool leveraging LLMs, enabling efficient querying and generation of insights from team knowledge bases, improving information retrieval speed and accuracy for cross-functional collaborators
2
Software Engineer
Amazon | 2020 - 2021
- System designed & created design docs for various components, built various services & unit tested end to end across the components.
- Created backend services & UI components for the amazon assistant chrome extension, which has over 7 million web users & 50 million mobile users..
- Created cloud formation stack to create the Entire AWS services stack for our CI/CD integration pipeline
3
Software Engineer Intern
Marsh & Mclennan | Summer 2019
- Built insurance tools with Angular 7.
- Developed Rest APIs with Node and MongoDB as a database for most of the components.
- This application has reduced the overall transaction time between the Client and the Insurance provider by at least 30%.
Featured Projects

LLM Agent orchetrator
An intelligent, multi-tool agent powered by a Large Language Model, integrating multiple real-world data APIs and deploying on a serverless architecture.

Bitcoin price prediction
Bitcoin price prediction model that leverages a Large Language Model (LLM) to analyze market sentiment. Unlike traditional models that only use historical price data, this tool processes real-time news articles, social media trends, and financial reports to capture the human element driving market volatility, providing a more nuanced and context-aware forecast.

Personal finance tracker
Intelligent personal finance tracker designed to make money management effortless and insightful. Powered by AI, the application automatically categorizes expenses with high accuracy, identifies personal spending trends, and provides proactive alerts on unusual activity. It moves beyond simple data entry, offering users a clear, automated, and predictive view of their financial health.

Smart home automation app
A custom-built smart home application that acts as a centralized command center for home's connected devices. Its core feature allows for complex and deeply personalized automation routines. The app provides a fully custom user interface for intuitive control and integrates seamlessly with voice assistants like Alexa for advanced, hands-free commands.
Get In Touch
I'm currently open to new exciting opportunities and collaborations. Feel free to reach out to me via email or connect with me on social media.
Email Me