IoT Developer β’ Embedded Systems β’ Full-Stack Developer
Building bridges between physical hardware and digital solutions through innovative engineering
- Automating Calibration and Report Generation with Google Colab
- Energy Monitoring System Calibration: Linear Regression Approach for Sensor Accuracy
- Japanese Input with Mozc + Fcitx5 on Arch Linux (Wayland + Hyprland)
- Computers Were Faster When They Were Slower
Real-time monitoring and analytics platform for ESP32-based IoT sensors. Features dual Mamdani fuzzy inference engines (15-rule energy, 14-rule climate), ML-powered forecasting with linear regression and pattern matching, role-based access control, and TimescaleDB time-series storage with automated Blynk polling.
Tech: React 18 TypeScript Fastify Bun PostgreSQL TimescaleDB Prisma Recharts Tailwind CSS Docker
IoT-based intelligent trash bin that automatically classifies waste into dry, wet, and metal categories using sensor fusion and automated sorting mechanisms.
Tech: ESP32 Arduino Servo Motors Sensor Fusion WiFi
Comprehensive IoT system for real-time monitoring of electrical energy consumption and environmental conditions with advanced calibration algorithms.
Tech: ESP32 PZEM-004T DHT11 Blynk IoT Linear Regression
Flutter-based mobile application for real-time energy monitoring and power quality analysis with Material You design and interactive charts.
Tech: Flutter Dart Blynk IoT FL Chart Material Design
Turning complex challenges into elegant IoT solutions

