About
I'm Mulham Sarmini, a software engineer focused on full-stack development, machine learning, and shipping polished applications end to end.
I enjoy the full lifecycle of building products, from architecture and clean implementation to deployment and iteration.
Designing and building end-to-end web applications with React, Next.js, and modern backends.
Applying ML to real problems, from predictive models to on-device computer vision.
Taking ideas from prototype to deployed, maintainable apps on cloud platforms.
Skills
Showcase
A selection of applications I've designed, built, and deployed.
A hybrid fitness app that delivers live exercise-form feedback using on-device pose detection (TensorFlow.js + MoveNet). Built with Capacitor and a native Android wrapper, with an AI coaching chat, Supabase auth and cloud sync, and an offline fallback.
A machine learning system that predicts loan approval decisions with high accuracy, built using ensemble methods and deployed as a scalable REST API with a web interface.
A personal health tracking application for monitoring your wellness journey, with mood tracking, symptom logging, medication reminders, and health analytics.
Contact
I'm open to new roles, freelance projects, and collaborations. The fastest way to reach me is by email.
Send me an email