Projects & Case Studies
From industrial automation to AI-powered pipelines — real systems built, shipped, and operating in the field.
Spotlight: FluxSense AI
FluxSense AI — Poultry Farm Intelligence Platform
A full-stack IoT SaaS platform for intelligent poultry farm management. Built backend APIs, sensor data pipelines, and an AI inference layer for poultry growth prediction. The system connects IoT devices to a central cloud platform serving mobile apps and farm managers with real-time analytics and automated alerts.
Work Across Every Domain
VFD Remote Control System
End-to-end system for remotely controlling a Variable Frequency Drive over the internet. ESP32 firmware communicates via MODBUS, a Laravel backend handles secure command routing, and a Flutter mobile app provides a real-time control dashboard with historical logs.
RGB-D Poultry Data Acquisition Pipeline
Python-based acquisition system built for DeepEmbed Research Lab. Captures RGB-D chicken images using Intel RealSense D435i with automated session handling, gesture controls, and point-cloud generation. Delivered structured datasets for AI-powered poultry growth analysis.
Poultry Farm Management IoT SaaS
Full-stack IoT SaaS platform for poultry farm operations. Built backend APIs, role-based access (managers, operators, admins), Stripe payment integration, OTA firmware update system for IoT devices, and time-series sensor data aggregation.
Temperature & Humidity Monitoring APIs
Serverless cloud API layer for real-time climate monitoring of specific sites. IoT Core manages device connectivity, Lambda + DynamoDB handle data ingestion and storage, API Gateway exposes data to mobile clients, and Cognito + IAM manage authentication.
Battery Charger Health & Charging Manager
PyQt5 desktop application for real-time battery charger monitoring and charging management. Communicates with hardware over serial/USB, visualizes live electrical signals, automates charging cycles, and generates health reports for field engineers.
Automated Industrial Equipment Testing Platform
Desktop software that communicates with industrial hardware to trigger automated equipment tests, fetch results, and visualize pass/fail outcomes on a real-time dashboard. Reduced manual testing overhead significantly for field engineering teams.
Oscilloscope Signal Visualization Tool
Fetches recorded waveform data from oscilloscopes and renders it in a clean, interactive desktop interface — making signal analysis far clearer and faster than reading raw oscilloscope output. Built for electronics engineers at CARE lab.
IoT Device Control Mobile Applications
Built real-time Flutter mobile apps for monitoring and controlling connected devices: electric bikes, smart water dispensers, and home automation systems. Each app paired with a CodeIgniter backend for device communication, state management, and data persistence.
5 IoT SaaS Platform Contributions
Contributed backend engineering across five separate IoT SaaS platforms — designing hierarchical CRUD systems (users → factories → plants → sections), building device APIs, integrating Stripe payments, and implementing OTA firmware update features with versioning dashboards.
Engineering Automation Script Toolkit
A suite of Python tools built to accelerate engineering workflows: automated API testing pipelines, bulk IoT data pushers for stress-testing SaaS platforms, workflow helper scripts, and code generators for Flutter BLoC structures and project folder scaffolding.
Port Reform — Logistics SaaS Platform
Backend engineering contributions to Port Reform, a logistics and port management SaaS. Designed and implemented API endpoints, entity management systems, and supporting backend infrastructure for logistics workflow automation.
2D Multiplayer Game
Built a 2D multiplayer game in Python (Pygame) during the early exploration phase — implementing real-time multiplayer networking, game loop architecture, collision systems, and player-state synchronization. A formative project that cemented backend + networking fundamentals.
Stack Used Across Projects
Every tool chosen for a reason — reliability, scale, and real-world fit.
Have an Idea? Let's Build It.
Whether it's an IoT product, an AI pipeline, a SaaS platform, or an embedded system — we take ideas from concept to production.