Embedded Systems & Edge AI Researcher | Real-Time IoT Systems | Intelligent Sensing & Data Processing | Team Lead
Designing real-time IoT systems with intelligent sensing and advanced data processing capabilities. Specializing in edge AI solutions for embedded platforms, environmental monitoring systems, and smart device architectures across ESP32, STM32, Infineon XMC series MCU, and Raspberry Pi ecosystems.
Undergraduate Teaching Qualification
Strong educational foundation in science education, mathematics pedagogy, and physics instruction. Active in STEM mentorship, embedded systems developer mentorship, and university IoT outreach initiatives. Develops communication and mentoring skills applied to technical content creation and team leadership.
Advanced Postgraduate Qualification
Comprehensive expertise in electronic circuit design, sensor technology, control systems, and signal processing—forming the theoretical backbone of current professional excellence.
Advanced analog/digital circuit analysis, power electronics, mixed-signal integration
Precision measurement systems, transducer design, smart sensor integration
Classical/modern control theory, digital signal processing, automation systems
Mathematical signal processing, digital filter design, data acquisition systems
Team leadership, mentoring, educational content creation, organizational development
Physics and mathematics education, technical documentation, tutorial creation
Embedded Systems Developer and Team Lead at ChipGlobe KE with dual expertise: Bachelor of Education in Science, Mathematics, and Physics, and Master's degree in Electronics and Instrumentation. This unique combination enables me to bridge technical complexity with clear communication, mentor high-performing teams, and drive innovation in IoT and smart device engineering.
Specialized in microcontroller platforms (ESP32, ESP8266, STM32, Raspberry Pi, Arduino) and Infineon XENSIV™ sensors. Strong background in signal processing, control systems, and edge AI development. Active in STEM mentorship, embedded systems developer mentorship, and university IoT outreach initiatives.
GitHub Repositories
Electronics & Instrumentation
Starred Projects
Team Lead
Core competencies developed through advanced academic training in Electronics and Instrumentation, combined with practical embedded systems expertise.
Educational content and tutorials on embedded systems, IoT development, sensor integration, smart home automation, and AI-powered edge computing. Featuring practical demonstrations with ESP32, STM32, Infineon boards, and professional-grade sensor kits.
M.Sc. Electronics & Instrumentation | Mathematician & Physicist turned Embedded Systems Developer. Specializing in AI-enabled IoT systems, radar/sensor integration, and smart device development across ESP32/ESP8266, STM32, Raspberry Pi platforms. 20+ repositories showcasing embedded solutions.
Featured developer on Carenuity platform specializing in microcontroller ecosystems including ESP32, ESP32-C3 Mini, D1-Mini, and Raspberry Pi Pico W. Contributing to intelligent environmental monitoring solutions and Matter-compatible IoT devices.
Advanced presence & zone detector using LD2410C radar sensor with signal processing and real-time control logic. WLED integration and OLED feedback demonstrating embedded control systems and sensor signal conditioning.
Advanced Bluetooth Low Energy wireless protocol implementation with BLE iBeacon frame parsing. Real-time proximity monitoring and MQTT relay support demonstrating microcontroller architecture and IoT system design.
Comprehensive library collection for ESP8266/ESP32 projects featuring various sensors, displays, and IoT integrations for smart device development.
Multi-sensor integration with calibration and data validation pipeline. Environmental data processing with AI-powered insights generation demonstrating sensor conditioning and scientific data analysis.
Real-time YouTube channel growth monitoring system with compact OLED display powered by ESP32-C3 Mini for content creators.
Professional Wi-Fi signal measurement tool for ESP32-C3-Mini with SSD1306 OLED. Essential for IoT deployment and network optimization.
Real-time weather monitoring system using ESP32 and OLED screen with OpenWeatherMap API integration for current conditions display.
End-to-end system integration across hardware, firmware, and cloud platforms. Environmental monitoring with industrial IoT protocols and Matter compatibility demonstrating system architecture and cross-platform integration.
Real-time GPIO pin monitoring system with OLED display visualization for ESP32 debugging and development applications.
Comprehensive environmental monitoring system for D1-Mini and C3-Mini with air quality sensors, codes, and binary files.
Build a smart environmental monitoring system using Sensirion SHT40 sensor for precise temperature and humidity measurements with ESP32-C3.
Interface MICS-6814 multi-gas sensor with ESP32-C3 Mini for detecting CO, NO2, and NH3 gases with real-time monitoring capabilities.
Smart environmental monitor enhanced with GPT3.5 AI for intelligent data analysis, insights, and predictive environmental recommendations.
Hassle-free integration air quality meter with automatic device discovery for seamless smart home ecosystem integration.
Build your own zone detector with LD2410C radar sensor in just 3 minutes. Quick deployment solution for presence detection applications.
Sense your surroundings with this easy-to-build DIY weather station featuring comprehensive environmental monitoring capabilities.
Comprehensive environmental monitoring solution with user-friendly interface and full sensor integration.
AI-enhanced environmental data analysis with GPT-3.5 integration for intelligent insights and predictions.
Quick-build radar detection system for smart home automation with rapid prototyping and deployment.
Advanced gas sensing capabilities with ESP32-C3 Mini for multi-gas detection and environmental analysis.
Your sponsorship directly supports the development of innovative IoT solutions, open-source projects, and technical content for the embedded systems community.