I am an with several years of experience building and optimizing scalable applications, including work on developing GenAI-powered solutions. Skilled across React, Vue, GraphQL, REST APIs, Flask, Node.js, and Express.js, I consistently deliver clean, efficient, and reliable systems end-to-end.
A chronological record of my career and key contributions.
A curated stack of tools and technologies I use to build robust digital solutions.
Building and optimizing scalable backend systems, APIs, and data pipelines.
Professional courses, vendor training, and achievements across cloud, machine learning, and AI engineering, alongside recognition earned on the job.
MAHA Gold Award 2025 (Mesiniaga Award for High Achievers)
A curated collection of recent work focusing on scalable architecture, interactive experiences, and clean code.
A website that uses machine learning to evaluate fraudulent job postings. Nuxt.js, Tailwind CSS, and daisyUI on the frontend; Flask, REST API, and MongoDB on the backend; XGBoost powers the fraud classifier. Built for DevHack 2023.
A mobile app that detects dry eye syndrome accurately using Flutter for the frontend and a Python OpenCV CNN-BUT (break-up time) algorithm for detection. Built for the Apps Innovation Challenge (AIC) 2022, university category.
An online quiz website built as a checkpoint for MSU iReX 14.0 InfoHunt Challenge participants, testing understanding of each team's chosen final year project across 10 questions. Hosted on GitHub Pages with QR code entry.