Architected and developed a cross-platform mobile application using React Native and Firebase, focusing on personal growth and development. Implemented real-time data synchronization with Firebase Realtime Database, user authentication with Firebase Auth, and cloud functions for serverless backend logic. Optimized performance for both iOS and Android platforms, achieving a smooth and responsive user experience. The app maintains a 5.0-star rating on the App Store and Google Play.
Led the end-to-end development of a campaign management web application using the MERN stack (MongoDB, Express.js, React.js, Node.js). Designed and implemented RESTful APIs, developed a responsive frontend with React and Redux, and managed data persistence with MongoDB. Deployed the application on AWS EC2 instances with Nginx for load balancing and used AWS S3 for asset storage. Implemented CI/CD pipelines using Jenkins and GitHub Actions, reducing deployment time by 50%. The platform successfully managed campaigns for over 50 clients, increasing their engagement by 30%.
Developed a feature-rich landing page and dashboard for the Growth Book App using React.js, Node.js, Firebase, Tailwind CSS, and HTML. Implemented server-side rendering with Next.js to enhance performance and SEO. Created a secure dashboard for authors to create and manage courses, integrating Firebase Auth for authentication and Firestore for real-time data storage. Performed extensive SEO optimization, improving organic traffic by 40%. Deployed the application on Vercel for seamless CI/CD and scalability.
Engineered a backend service utilizing Python and Flask to interact with PDF files and generate flashcards through a Retrieval-Augmented Generation (RAG) system. Integrated OpenAI's GPT-4 API for advanced natural language processing and Pinecone for vector similarity search. Developed algorithms to extract key concepts from PDFs, enabling users to engage in interactive chat and receive autogenerated flashcards. Optimized the system for scalability, handling large datasets and concurrent user requests.
Developed a professor rating application enhanced with a Retrieval-Augmented Generation (RAG) system using Express.js, OpenAI GPT-4, Pinecone, and Firebase. Implemented RESTful APIs to handle user interactions and data retrieval. Utilized Pinecone's vector database for efficient similarity search, allowing for intelligent and context-aware responses. Integrated Firebase for authentication and real-time database functionalities. Ensured data privacy and compliance with educational data regulations.
Python
JavaScript
TypeScript
Java
C++
React.js
Node.js
Express.js
Flask
Angular
Tailwind CSS
Docker
AWS
Git
MongoDB
Linux
Jenkins
TensorFlow
NumPy
I'm always open to new opportunities. Feel free to reach out to me via email or phone.