Computer Engineering graduate with a strong passion for backend and full-stack development. Skilled in building secure and scalable applications using Node.js, Next.js, PostgreSQL, Redis, and Drizzle ORM. Developed impactful projects such as a RAG-based chatbot and a video/image processing tool with queue-based background processing. Former Technical Lead at SIES-CSI, where I managed the official website and conducted technical workshops. Recognized with awards at national IEEE and CSI competitions for innovation and technical excellence. Currently exploring Agentic AI workflows and seeking a backend-focused role to apply my expertise, contribute to impactful products, and grow in a collaborative environment.
Experience
Backend Developer @ Vetra
Dec 2024 - May 2025
- Implemented secure authentication
- Developed bookmark functionality allowing users to save and organize ideas
- Designed and maintained RESTful APIs and managed the PostgreSQL database
Full Stack Web Development Intern @ Transworld Shipping and Logistics
Jun 2023 - Jul 2023
- Managed websites for Patang and Transworld Group
- Assisted in the development of a customer-facing chatbot
Side Projects
Authentication System
Jun 2025 - Jun 2025
Developed a robust user authentication flow supporting Google OAuth and custom email-password login via NextAuth for seamless and secure user access.
Integrated rate limiting and OTP attempt constraints to prevent brute-force attacks.
Built an activity logging system to track user actions and authentication attempts for auditing, security monitoring, and debugging
Link-Collab
Jul 2025 - Jul 2025
Developed a structured data hierarchy: Boards → Collections → Links/Notes/Files, enabling intuitive workspace organization.
Integrated WebSocket-based real-time collaboration, including live update and role-based access.
Image/Video Processing
Aug 2025 - Present
Designed and deployed a production-ready image/video processing backend using Node.js, Redis (Upstash), and BullMQ, enabling efficient asynchronous job queues for background processing.
Built a scalable media processing pipeline supporting resize, compress, format conversion, and watermarking with Sharp (images) and FFmpeg (videos)
(Testing phase is going will deploy it very soon)
Rag Chatbot
Sep 2025 - Present
Designed and implemented a Retrieval-Augmented Generation (RAG) system with Google GenAI, LangChain, and Qdrant to enable intelligent question answering over PDF and text documents.
Built robust pipelines for document parsing, chunking, and vector storage with automated error recovery, confidence scoring, and source-backed responses.
(It is running fine for pdf arounf 200 lines). Now improving it to make it production level.
Education
SIES Graduate School of Technology
Btech - Computer Engineering
2021 - 2025