About Me
Hello! I’m a certified (BNSP) associate data science and machine learning enthusiast with a strong software engineering background, focused on building data-driven solutions that are reliable and impactful.
I have hands-on experience working on real-world projects, from data analysis and model development to designing back-end services and APIs that bring models into production. I value clean architecture, clear communication, and maintainable systems that can scale and evolve over time, with the goal of turning data and models into real, measurable impact.
Featured Projects
Live CCTV Traffic Object Detection System
A real-time traffic monitoring system that leverages computer vision to detect, track, and classify vehicles from live video streams. The system processes visual data to identify different vehicle types, enabling traffic flow analysis and data-driven insights
Gloo - Daily Blood Sugar Management App
Gloo is a mobile health application that helps users make healthier choices and reduce diabetes risk by analyzing packaged food sugar content using computer vision, providing nutritional grades (A–D), expert consultations, and a sugar level tracker for health monitoring.
Barbershop Management System - Clipzo Manager
Designed, built, and deployed a full-stack application for managing barbershop operations.
Fleet Management System - Tracktion
Designed and implemented a comprehensive fleet management solution with location tracking and asset management.
Technical Skills
▹ Machine Learning & Data Science
▹ Deep Learning & Computer Vision
▹ Database & Cloud
▹ Backend & Systems
▹ Tools & DevOps
Get In Touch
I’m currently exploring opportunities in data science and machine learning, especially roles where I can apply strong software engineering foundations to build production-ready, data-driven systems. Whether you have a question, an opportunity, or just want to say hi, my inbox is always open.
Say Hello