Major in Computer and Information Systems Engineering.
Cumulative GPA: 3.63/.0
Relevant Coursework: Data Structures and Algorithms, Software Engineering, Artificial
Intelligence, Machine Learning
- •NextJS
- •ReactJS
- •VueJS
- •React Native
- •PostgreSQL
- •MySQL
- •MongoDB
- •Firestore
- •Selenium
- •BeautifulSoup
- •Puppeteer
- •Cheerio
- •DotNet
- •Django
- •Flask
- •ExpressJS
- •Nest[S
- •Computer Vision
- •Deep Learning
- •Natural Language Processing
- •Demand Forecasting
The Final Year Design Project aims to improve object grasping and manipulation in warehouses. It features an autonomous robotic arm that efficiently retrieves items from any defined place using dual monocular cameras for 6D object pose estimation and techniques involving robotics and machine learning for grasping strategies that includes kinematic modeling and inverse kinematic modeling of the robotic arm.
Developed a chat application using Nextjs and DotNet for a client who wanted a fast and scalable solution for
online communication. The chat application allows users to register with their email and password, create a profile
with their name and avatar, and chat with their friends in real-time. The chat application also supports file sharing,
emoji, typing indicators, and message history. The front end was developed with Nextjs, a React framework that
enables server-side rendering and static site generation. The backend was developed with DotNet, a cross-platform
framework that provides a rich of libraries and tools for building web applications. The chat application uses
Pusher, a cloud service that handles the WebSocket connections and the real-time messaging functionality. The
chat application is hosted on Vercel, a platform that optimizes the deployment and performance of NextJs
applications.
Developed a comprehensive Amazon-like platform utilizing Nest.js on the frontend and Express.js on the backend,
demonstrating expertise in the MERN stack. Integrated essential e-commerce features, offering practical
experience in building scalable and responsive web solutions.
Crafted a sophisticated video streaming service with functionalities akin to Hulu, employing React.js for an
interactive frontend, Express.js for server-side operations, and the TMDR API for a rich content library. Showcased
skill in engineering captivating user interfaces and smooth content streaming within a React-Express framework.
Engineered an advanced Restaurant Management Application using Reactjs for a lively frontend and Node.js for a
robust backend. The app features intuitive order handling, efficient table reservation, and comprehensive inventory
management, highlighting proficiency in developing streamlined, user-centric systems for the restaurant sector.
Constructed a comprehensive Inventory Management System as a web application, utilizing Django Python for
backend operations and MySQL for effective data storage. The system features intuitive interfaces and optimized
inventory monitoring, exemplifying expertise in full-stack development with an emphasis on dependability and
data handling.