Vasanth

React Native · TypeScript · REST APIs · HAJT E-Payment

Delivered the official Ajman Port & Customs (APCD) module for the AjmanOne UAE government super-app, digitizing 50+ maritime, customs, and trade services and migrating legacy counter-based workflows to mobile.

• Orchestrated a custom Finite State Machine (FSM) using React useReducer and custom hooks to manage multi-step payment lifecycles, including pre-payment, gateway validation, and backend workflow triggers, ensuring controlled execution and preventing race conditions.
• Created a config-driven, modular React Native architecture using TypeScript, the Strategy pattern, reusable abstractions, and DRY principles to enable scalable dynamic UI rendering across multiple government services.
• Streamlined payment workflows using service-layer hooks, Facade, and Builder patterns, integrating government APIs with the HAJT E-Payment gateway for dynamic payload construction and secure transaction processing.
• Strengthened production builds against reverse engineering by implementing a post-build JavaScript obfuscation pipeline using `javascript-obfuscator`, including control-flow flattening and dead-code injection to protect sensitive client logic and API integrations.
• Packaged the APCD module as a private NPM library and integrated it into the main AjmanOne mobile application.
• Supported the phased delivery of government services across multiple batches, working with government backend systems and legacy infrastructure to improve digital adoption and transaction processing efficiency.

React Native, Firebase, SignalR, Geo-fencing, LMS

All-in-one HR solution designed to simplify workforce management and enhance employee experience through automation and real-time tracking.

• Automated Attendance & Approvals with Geo-Tracking and Geo-Fencing validation
• Integrated Learning Management System (LMS) and Employee Self-Service portal
• Mobile-first experience with offline-first sync and multi-tenant URL configuration
• Reduces administrative overhead by automating shift rosters and help desk requests

React Native, AI Parsing, RBAC, Analytics

Full-cycle ATS mobile app with AI-powered resume parsing and candidate recommendation features to streamline the hiring funnel.

• AI Resume Parsing & Skill Extraction with candidate recommendation engine
• Granular RBAC supporting HR admins, recruiters, and hiring managers
• Custom interview pipelines, hiring stages, and automated scheduling
• Preboarding module for secure document collection and approval workflows

React Native 0.85 · TypeScript · Kotlin/C++ · SQLite (JSI) · Edge-AI (Qwen 2.5)

MedAxiz is an offline-first mobile application built with React Native 0.85, TypeScript, and Native Android (Kotlin/C++). Engineered with Clean Architecture and Domain-Driven Design (DDD), MedAxiz guarantees medication compliance using hardware-level Android AlarmManager exact scheduling, full-screen lock screen alerts, and a self-healing background WorkManager scheduler. Featuring an on-device quantized LLM (Qwen 2.5 0.5B via C++/JNI LlamaEngine), MedAxiz parses prescriptions and manages schedules completely offline without cloud privacy risks. Includes C++ JSI SQLite storage, a deterministic adherence state machine, interactive compliance analytics, and a native A4 PDF clinical report generator.

• Engineered with Clean Architecture and Domain-Driven Design (DDD), featuring hardware-level Android AlarmManager exact scheduling and full-screen lock screen alerts.
• Integrated on-device quantized LLM (Qwen 2.5 0.5B via C++/JNI LlamaEngine) for offline prescription parsing and schedule extraction without cloud privacy risks.
• Built with high-performance C++ JSI SQLite storage, a deterministic adherence state machine, and self-healing background WorkManager scheduling.
• Features interactive compliance analytics and a native A4 PDF clinical report generator for healthcare consultations.