Enterprise Solutions at SyntaxGenie

Overview

During my tenure at SyntaxGenie, I contributed to multiple enterprise-grade projects spanning IoT, e-learning, and service industry applications. These projects showcased my versatility across the full technology stack—from embedded firmware to cloud-based machine learning deployments.

🏭 Industrial IoT Management Platform

A comprehensive Industrial Internet of Things (IIoT) management system designed for manufacturing and industrial environments. This was one of the most architecturally complex projects, implementing clean architecture principles with Domain-Driven Design.

Technical Stack

• Backend: Spring Boot 3.2.5, Java 21
• Database: MongoDB
• Security: JWT-based authentication with Spring Security
• Containerization: Docker, Docker Compose

Key Features

• Sensor Management: Real-time tracking and registration of industrial sensors
• Alert System: Configurable alerts with threshold monitoring and notification triggers
• Job Scheduling: Complex job lifecycle management with state machines
• Process Automation: Industrial process orchestration and monitoring
• Material Tracking: Raw material and inventory management integration

My Contributions

• Designed and implemented the core domain entities and use cases
• Built the sensor reading and alert notification system
• Implemented JWT authentication and role-based access control
• Created the job scheduling and process management modules

🏢 Smart Building Energy Management System

An end-to-end smart building automation and energy management solution. This was the most technically diverse project, spanning hardware firmware, mobile applications, and machine learning.

System Components

Mobile Application (Flutter)

• Device configuration and management
• Real-time energy usage monitoring
• Space and zone management
• Smart device control (AC controllers, power monitors)
• BLoC pattern for state management

Hardware/Firmware

• Custom AC controller firmware for ESP32
• Power monitoring smart sockets
• BLE-enabled smart devices
• PlatformIO development environment

Machine Learning Module

• Power usage demand forecasting with TensorFlow/Keras
• Time-series analysis with multiple sampling intervals (1h, 6h, 12h, 24h)
• Model deployment on Azure Functions

My Contributions

• Developed the Flutter mobile application with clean architecture
• Implemented device configuration and BLE communication
• Created data sampling pipelines for ML training
• Built Azure Functions for ML model serving

📚 Comprehensive E-Learning Platform

A full-featured learning management system (LMS) with course delivery, student management, and integrated payment processing.

Technical Stack

• Framework: JHipster 8.0 (Java + React/TypeScript)
• Backend: Spring Boot with PostgreSQL
• Frontend: React with TypeScript
• Payments: Stripe integration
• Deployment: Docker with CI/CD pipelines

Key Features

• Course Management: Create, organize, and publish educational content
• Video Delivery: React Player integration for video lessons
• Hierarchical Content: Courses → Units → Chapters → Lessons
• Payment Gateway: Stripe integration for purchases and subscriptions
• Expert Profiles: Instructor management and ratings

My Contributions

• Built the course and chapter management system
• Implemented Stripe payment integration
• Developed the student enrollment workflow
• Created the public-facing marketing website with Next.js

🔧 Other Notable Projects

Service Booking Platform

A comprehensive platform for a professional cleaning service business using Firebase, Vue.js, and TypeScript.

• Online booking system with time slot management
• Digital contract generation and signing
• Client feedback collection and review system
• Admin dashboard for business management

Custom Calendar Scheduling Library

A reusable React calendar component library with advanced scheduling capabilities.

• Week view with 15-minute time intervals
• Drag-to-create event slots
• Event resizing and moving via drag-and-drop
• Multi-column layout with overlap handling

Financial Charting Component

A canvas-based financial charting component for trading applications using React and Konva.js.

• Candlestick chart rendering
• Customizable grid system
• Interactive viewport with zoom/pan

🎯 Key Achievements

• Full-Stack IoT Expertise: Delivered end-to-end IoT solutions from embedded firmware to cloud ML deployment
• Enterprise Architecture: Implemented clean architecture and DDD principles in production systems
• Cross-Platform Development: Delivered solutions across web, mobile, and embedded platforms
• Real-Time Systems: Built systems handling real-time sensor data with alert mechanisms
• ML Integration: Deployed machine learning models for energy demand forecasting in production

Technology Proficiency

• Backend: Spring Boot, Firebase Functions, NestJS, Node.js
• Frontend: React, Next.js, Vue.js, TypeScript
• Mobile: Flutter with BLoC pattern
• IoT: ESP32, Arduino, PlatformIO, BLE
• ML: TensorFlow/Keras, Azure ML
• Databases: MongoDB, PostgreSQL, Firebase/Firestore