Crafting responsive UIs with modern frameworks for intuitive user experiences.
Scalable server solutions
Crafting robust RESTful APIs and seamless third-party service integrations
Implementing cutting-edge AI solutions with LLMs, Computer Vision, and ML models
Architecture & Infrastructure
I embrace the mindset of a perpetual learner. While I may not claim mastery, I'm constantly exploring new technologies and leveraging AI to enhance my capabilities. Every job / project is an opportunity to grow and innovate.
As a Software Test Trainee at Magic Edtech, I contributed to the quality assurance process of various web applications. My responsibilities included manual and automated testing, identifying and reporting bugs, and collaborating with development teams to ensure software reliability.
Developed fast, scalable web applications using HTML, CSS, JavaScript, and React, ensuring responsive design and cross-browser compatibility. Implemented optimized front-end architecture and reusable components, significantly reducing load times and improving maintainability. Applied industry-standard frameworks and best practices to create user-centric interfaces, resulting in a 30% improvement in performance and enhanced user engagement. Focused on clean, semantic code and performance tuning, leading to smoother interactions and quicker initial load experiences.
Crypto Tracker is a web application that enables users to monitor real-time cryptocurrency prices and trends with CoinGecko API integration. Users can search and explore thousands of coins, view interactive historical price charts, and manage a personalized watchlist to keep track of their favorite cryptocurrencies. With Firebase Firestore handling authentication and data storage, and a sleek interface built using React.js and Material-UI, the app offers a smooth and responsive user experience.
YouTube Comment Analyzer is a web application that allows users to analyze comments from any YouTube video by extracting and visualizing key insights such as sentiment analysis, keyword frequency, and engagement metrics. Built with React.js for the frontend and powered by the YouTube Data API, the app processes large volumes of comments to identify patterns in viewer feedback. Users can gain quick overviews through data visualizations, sentiment breakdowns, and word clouds, making it a powerful tool for content creators, marketers, and researchers.
Thank you for taking the time to explore my portfolio! I'd be happy to connect if you have a hiring opportunity to discuss or an exciting collaboration in mind. Let's create something amazing together!