Software Developer | Problem Solver | Continuous Learner
I recently graduated from IIT Kharagpur with a Dual Degree in Ocean Engineering and Naval Architecture (Class of 2026). While my academic background is in Naval Architecture, my true passion lies in software development and building large-scale, impactful products.
What excites me most about programming is the ability to translate ideas into systems that work exactly as intended. I enjoy thinking deeply about system design, trade-offs, scalability, and performance rather than just writing code that “works.”
I believe AI is transforming software development by amplifying developer productivity, allowing engineers to operate at a higher level of abstraction. However, strong problem-solving skills, architectural thinking, and understanding system trade-offs remain irreplaceable — and that’s where I focus my growth.
I automated the development runtime environment and Magic Cloud Manager deployment using CI pipelines in Azure DevOps. This internship provided me with hands-on experience in cloud deployment and continuous integration practices.
In this LFX mentorship, I gained experience to open-source contribution. The mentorship project focused mainly on site navigation and improvement of site search using Algolia DocSearch.
During my internship at Talent Recruit Software , I developed a custom Outlook plugin that automated data parsing from emails directly into the ATS database.
ChatCluster is a production-grade, real-time messaging platform built with a focus on scalability, security, and modern DevOps practices. The system demonstrates expertise in distributed systems, real-time communication protocols, containerization, and microservices architecture.
The official website for Samudramathan Tech Fest, showcasing event details, schedules, and participant information. Built with a focus on responsive design and user engagement.
A minimal wallet for testnets/devnets to explore cryptographic and blockchain principles behind wallets, addresses, and transactions.
An LLM-powered Streamlit app that converts plain-English questions into safe SQL for SQLite, CSV, and Excel files, refines the query with value matching, executes it read-only, and generates both plain-language explanations and visualizations.