Invexor
A modern warehouse and inventory management platform featuring an optimized Flutter application cross-integrated with a reliable Python Django backend system. Currently actively developing and polishing features.
Hello, I'm
I focus on building responsive Flutter applications, integrating APIs, and delivering clean, scalable mobile solutions that users love.
I'm a Computer Engineering graduate with a passion for mobile development. I specialize in Flutter, crafting high-quality cross-platform apps for both Android and iOS with clean architecture principles.
My core expertise lies in Flutter & Dart — building pixel-perfect UIs, integrating RESTful APIs, managing state with GetX/Bloc/Provider, and deploying to both major platforms seamlessly.
Graduated with a B.Sc. in Computer Engineering (2020 – 2026). My studies bridged hardware fundamentals with modern software engineering, algorithms, and deep learning.
I believe great software is invisible — it just works beautifully. I obsess over performance, accessibility, and user experience in every project I build.
Building cross-platform mobile apps for clients with API integrations and Firebase backends.
Graduated with focus on software engineering, algorithms, embedded systems, and deep learning.
Contributing to Flutter community packages and personal open-source projects on GitHub.
A modern warehouse and inventory management platform featuring an optimized Flutter application cross-integrated with a reliable Python Django backend system. Currently actively developing and polishing features.
A cross-platform vehicle rental MVP with multi-role access (Customer, Agency, Admin). Features Google/Facebook OAuth, email verification, real-time booking management, agency fleet control, and a Laravel + PostgreSQL backend.
A cross-platform fashion e-commerce app with product browsing, search & filtering, user authentication, shopping cart & checkout, real-time Firebase backend, modern animations, and full Android & iOS support.
A deep learning system classifying 7 facial expressions using EfficientNetB0 transfer learning on FER-2013. Achieves ~67% test accuracy with data augmentation, class-weight balancing, and early stopping.
A clean and modern Flutter UI application showcasing a polished store interface with smooth animations, responsive layout, and a thoughtful design system — built to demonstrate strong UI/UX skills in Flutter.
An embedded systems project built using Arduino Uno, dual sensors (MQ-2 Gas & Flame), and a SIM900D GSM Module. Features dual-verification logic to reduce false positives, automated water sprinkler activation, local LCD output, and real-time SMS alerts.
I'm currently open to freelance projects and full-time opportunities. Whether you have a project in mind or just want to say hello — my inbox is always open!