- Created a chatbot with Langchain and OpenAI.
- Next.js frontend, Firebase DB/Auth.
- Node.js backend for logic.
- Tailwind CSS for styling.
- Seamlessly integrated multiple technologies.

Built web app (Next.js/React.js/Node.js) with MongoDB. Led design/architecture, mentored intern, added Auth, dynamic invoicing, Github for code.

Led 2 interns in building logistics SAAS. Optimized MySQL DB, React front-end, Node.js back-end, AWS DB security, gov't API integration, billing features.

Defi Token farm allows users to stake their tokens and earn the smartcontract token . It contains a frontend user interface.

It is a decentralized lottery in which only the owner can start and stop and anyone with a minimum amount can enter and a random winner is selected using a chainlink randomness generator

It can be deployed on the mainnet and different accounts can fund the contract and only the owner can withdraw the total amount. People can donate in crypto based on the conversion rate.

Led and mentored a team of 2 full-stack developer interns in developing a SAAS solution tailored for the logistics industry.Designed and optimized the database schema using MySQL, ensuring efficient data organization and maintaining high availability.Spearheaded the architectural planning of the system, outlining the overall structure and functionality to meet industry-specific needs.Collaborated in developing the front end using React.js, prioritizing a user-friendly interface for enhanced usability.Actively contributed to the backend development, employing Node.js to ensure robust server-side functionality, scalability, and highperformance.Orchestrated the deployment of the front end on Netlify, guaranteeing accessibility and ease of use for all users, and hosted the backend onCyclic to maintain seamless system performance and scalability in response to growing demands.Managed the database on AWS, implementing rigorous security measures to safeguard data integrity and reliability.Successfully implemented features for creating E-way Bills by integrating government APIs, enhancing the platforms functionality.Developed critical functionality for generating challans and bilties within the system, streamlining billing processes, and empowered users toseamlessly access and view invoices and bills created within the platform, fostering user engagement and efficiency.

This web application is constructed using the Next.js framework with React.js for the frontend and Node.js for the backend.I spearheaded the design and architecture of the web application, meticulously crafting the system schema.MongoDB serves as the chosen database for persisting user data, ensuring efficient data storage and retrieval.I mentored an intern, providing guidance, troubleshooting assistance, and task delegation to facilitate their growth and contributions.Notable features encompass user Authentication, dynamic invoice generation, comprehensive invoice history tracking, and the seamlessprinting of invoices.Used Github for managing the codebase.

Chatbot made using OpenAi Api.Frontend is built using react.js, backend is in node js with express as the framework to build HTTP routes.

Developed a Twitter-like backend using Golang, employing Protocol Buffers for efficient communication between services.Created two services: one for handling tweets and another for user management, ensuring scalable architecture.Utilized PostgreSQL as the primary database, optimizing data storage and retrieval for high-volume tweet data.Implemented Ent ORM for streamlined database querying and management, improving development efficiency.Wrote comprehensive unit tests in Go, achieving over 90% test coverage to ensure reliability and maintain high code quality.

Led and mentored a team of 2 interns to develop a SaaS solution for the logistics industry.Designed the database schema with MySQL, ensuring efficient data organization and availability.Built the frontend using React.js, focusing on usability, and contributed to the backend with Node.js and Express.js for scalable functionality.Migrated DB to AWS for 99.9% uptime and automated backups.

A therapy platform allowing users to book therapy sessions and access AI-based therapist chatbot.Built the frontend using Next.js and styled with Tailwind CSS for a responsive user interface, with Node.js for backend functionality.Integrated Firebase for database management and secure user authentication.Enabled AI-based therapy sessions using the OpenAI API, providing automated therapy options.Implemented payment functionality using the Razorpay API for seamless transaction processing.Designed a system for therapists to list services and manage bookings effectively.

Developed an AI-powered chatbot using the OpenAI API, with LangChain as the framework for managing conversational flows and integrations.Built the frontend with React.js for a dynamic user interface and implemented the backend using Node.js with Express.js to handle HTTP routes and API requests.