Single-handedly architected and built an end-to-end analytics portal using React, TypeScript, and modern AI development tools, making independent roadmap decisions that improved user experience without PM oversight.
Designed and implemented intuitive UI components focused on user experience, reducing learning curve for non-technical staff while maintaining clean, maintainable code architecture.
Built RESTful APIs independently, making key technical decisions that optimized performance while prioritizing user needs over unnecessary complexity or architectural purity.
Aug 2024 – Dec 2024
Full-Stack Developer (Contract)
Ministry of Health
May 2024 – Jul 2024
Built a modern web application using React, TypeScript, and Tailwind CSS for internal staff management, replacing outdated legacy systems with improved user experience.
Designed and implemented responsive UI components that work across devices, ensuring accessibility for government employees with varying technical skills and device preferences.
Developed secure authentication systems and database integrations while following government security protocols and data protection requirements.
May 2024 – Jul 2024
Coding Instructor & Mentor
Code Ninjas
Sep 2022 – Apr 2024
Taught programming fundamentals to 50+ students aged 8-18, using game-based learning to make coding concepts accessible and engaging for different learning styles.
Mentored students through complex projects including mobile apps and web games, developing patient communication skills while helping them debug and problem-solve independently.
Created custom lesson plans and coding challenges that balanced technical rigor with age-appropriate engagement, fostering both technical skills and creative problem-solving abilities.
Developed a full-stack smart RSS aggregator using React/TailwindCSS frontend and Python/AWS Chalice backend, implementing real-time article ingestion and intelligent categorization systems.
Built semantic search capabilities using Hugging Face transformers to deliver personalized content recommendations based on user reading preferences and interaction patterns.
Architected serverless AWS infrastructure with automated deployment pipelines, ensuring scalable content processing and 99.9% uptime for continuous news aggregation.
Built an interactive web application that democratizes machine learning by allowing users to build, train, and evaluate ML models through an intuitive drag-and-drop interface.
Implemented automated data preprocessing, feature engineering, and model selection algorithms that optimize performance without requiring deep ML expertise from end users.
Designed real-time visualization dashboards using Streamlit for model performance metrics, prediction confidence intervals, and feature importance analysis.
Engineered a hybrid recommendation system combining collaborative filtering and content-based algorithms to deliver personalized music suggestions with 85% user satisfaction rate.
Processed and analyzed 50,000+ song features using advanced data science techniques, implementing dimensionality reduction and clustering algorithms for pattern recognition.
Integrated Spotify Web API for real-time music data retrieval and created comprehensive evaluation frameworks to measure recommendation accuracy and user engagement metrics.
Developed a full-stack MERN application with intuitive drag-and-drop functionality for task organization, implementing real-time updates and collaborative features for team productivity.
Built secure user authentication system using JWT tokens and bcrypt encryption, ensuring data privacy and session management for multi-user environments.
Implemented RESTful API architecture with comprehensive CRUD operations, error handling, and data validation, supporting scalable task management workflows.
Led DevOps stream—built CI/CD pipeline, Terraform + Azure Web App deployment, and monitoring dashboards in Application Insights.
Tackled obstacles like connecting frontend to backend, deploying the application, and managing a CI/CD pipeline.
Collaborated with teammates from different streams to deliver an innovative solution using modern development practices.
Academic Excellence
2022 - 2024
Maintained high academic performance throughout university studies in Computer Science and Technology.
Completed multiple advanced courses in machine learning, data structures, algorithms, and software engineering.
Actively participated in university tech clubs and coding competitions to enhance practical skills.
Get In Touch
I'm always open to discussing new opportunities, collaborating on interesting projects, or just having a chat about technology and development. Feel free to reach out!