About
I am a final-year B.Tech Computer Science student at Maharaja Agrasen Institute of Technology (MAIT), passionate about building full-stack applications and AI-powered solutions that solve real-world problems. Through my internships and personal projects, I have gained hands-on experience in developing scalable web applications, integrating APIs, and building AI-driven systems. Currently, I am working as a Software Development Engineer Intern where I contribute to projects involving DigiLocker integrations, AI-powered financial solutions, RAG applications, and automation workflows. I enjoy working across the entire development lifecycle, from designing user interfaces to building backend services and deploying applications. Skills & Technologies - Programming Languages: Java, Python, JavaScript (ES6+) - Frontend Development: React.js, Tailwind CSS, Redux, Vite - Backend Development: Node.js, Express.js, REST APIs - Databases: MongoDB, SQL - AI & Generative AI: RAG, LangChain, FAISS, ChromaDB, Prompt Engineering, Gemini API - Tools & Technologies: Git, GitHub, Postman, Firebase, Playwright, VS Code I have also built projects such as SmartGovRec, a government scheme recommendation platform, and MediSecure, a digital health record management system. These experiences have strengthened my understanding of full-stack development, AI integration, and software engineering best practices. Apart from development, I enjoy participating in hackathons and collaborative projects. I was the First Runner-up at Hack For Impact 2025 (IIIT Delhi) and a finalist at Build Wars 2025 at MAIT. These experiences have helped me improve my problem-solving, teamwork, and innovation skills. Currently, I am exploring Generative AI, RAG architectures, automation workflows, and modern software development practices while actively seeking opportunities to grow as a Software Engineer. Feel free to connect if you'd like to discuss software development, AI applications, or exciting opportunities.
Work experience
SDE Intern at FinvestFx, Jan 2026 - Jun 2026 · 6 mos, New Delhi, Delhi, India, During my internship at FinvestFx, I worked on integrating DigiLocker APIs using MeriPehchaan OAuth2 and resolved authentication and scope validation issues to enable secure user verification workflows. I developed Firebase Cloud Messaging infrastructure for real-time and scheduled Android notifications and built a Mutual Fund portfolio dashboard by integrating MF Central APIs with AI-powered insights. Additionally, I developed an AI-powered extraction system using Gemini API to process mutual fund factsheets and extract structured information from unstructured documents. To improve processing efficiency, I implemented batch job pipelines for large-scale document extraction workflows. I also designed a RAG-based retrieval system using MongoDB, reducing LLM prompt tokens by nearly 70% (10K to 3K) and significantly lowering Gemini API costs. To ensure data accuracy, I built Playwright-based automation scripts that validated individual mutual fund pages and automatically verified whether the displayed fund information matched the extracted data, reducing manual testing efforts and improving overall data reliability.
Education
Bachelor of Technology - BTech, Computer Science, Maharaja Agrasen Institute Of Technology, Delhi
none, none, kendriya vidyalaya
