I build scalable systems, AI-powered applications, and high-performance microservices.
10+ years experience delivering production-ready software for enterprise and startups.
Built a modern, cross-platform mobile Point of Sale (POS) system from scratch, combining powerful backend services with a sleek mobile interface to streamline in-store transactions and inventory management.
● Frontend (React Native + Expo) ○ Developed a mobile-first POS interface with React Native (Expo) for both Web and Android ○ Implemented barcode scanning using the device camera via expo-barcode-scanner and supported manual barcode input fallback. ○ Built dynamic cart management and real-time order updates using Zustand state management. ○ Designed intuitive UI/UX with React Navigation, Vector Icons, Toast Messages, and ChartKit for analytics. ○ Implemented secure authentication using Clerk for React Native and Expo Secure Store. ● Backend (Node.js + TypeScript + Express) ○ Created RESTful APIs using TypeScript, Express, and Drizzle ORM for PostgreSQL. ○ Used clerk/express for secure API access and user management Technologies: Express JS, React Native, Expo, TypeScript, Clerk, Zustand, neon.tech, Stripe, React Navigation
Built a full-featured Point of Sale (POS) system with a Spring Boot backend and Angular frontend. The backend, developed in Java 17, leverages Spring Boot 3.1, Spring Security with JWT for authentication, and Spring Data JPA with MySQL for database operations. RESTful APIs are documented using SpringDoc OpenAPI and automatically consumed by the Angular frontend via OpenAPI Generator, ensuring type-safe API integration.
The Angular app, built with Angular 17, incorporates advanced UI components using PrimeNG, ag-Grid, and Bootstrap 5, with secure JWT-based login powered by @auth0/angular-jwt. This project showcases end-to-end full stack integration, automated client code generation, and modern architecture practices for scalable, maintainable retail solutions.
Technologies: Java 17, Spring Boot 3.1, Spring Security (JWT), Spring Data JPA, RESTful APIs, OpenAPI (Swagger), Angular 17, TypeScript, HTML5, CSS3, Bootstrap 5, PrimeNG, ag-Grid, MySQL, JPA/Hibernate, Lombok, OpenAPI Generator, RxJS, JWT, Maven
Development of bacteria detector REST API using flask and Yolo v8
Development of mobile app to login and upload the image to REST API and read the detection result
Development of user module REST API
Tasks:
Development of ESP module using AS7265X sensor to detect the corn moisture
Development of mobile app to read the data from ESP module using bluetooth then upload the result to REST API
Development of user module REST API to save the corn moisture data
Development of breast cancer detector REST API from image using flask and Yolo v8
Development of mobile app to upload the image to REST API and read the detection result
Tasks:
Development of algae detector REST API using flask and Yolo v8 segmentation
Development of mobile app to login and upload the image to REST API and read the detection result
Developed Safety Monitoring Dashboard application: User module, Role Management module, Notification module, Vehicle management module, Video Streamer, Fleet management
Developed Safety Monitoring Dashboard application: User module, Role Management module, Notification module, Vehicle management module, Video Streamer, Fleet management
Tasks:
Developing Spring Boot REST API to generate E-METERAI from PERURI using pool management to handle high traffic on https://skillacademy.com/
Developing Staff Management System including: user management module, staff employment module, staff formal education module, functional position module, Staff job position module, staff rank module, staff training, staff certification.
Developed a fruit counting app that can detect the number of fruits by taking a picture of the tree. The operator will take the picture of a tree then the picture will be sent to the server. The server will count the fruit using Mask R-CNN and return the number of fruit in that tree.
Tasks:
Development of fruit detector REST API using flask and Mask R-CNN segmentation
Development of mobile app to login and upload the image to REST API and read the fruit detection result
Developed custom Wordpress theme with advanced-custom-fields-pro and subscribe
developed custom plugins
integrated with marketing platforms such as: act-on
