M.Sc. Electronics & Instrumentation | AI Team Lead | Embedded Systems Engineer
Leveraging advanced academic training in signal processing and control systems to develop cutting-edge IoT solutions on the Carenuity platform, AI-enabled embedded devices, and intelligent environmental monitoring systems across ESP32, STM32, and Raspberry Pi platforms.
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
With a Master's degree in Electronics and Instrumentation, I bring deep expertise in electronic circuit design, sensor technology, control systems, and signal processing to my role as an Embedded Systems Developer and AI Team Lead at ChipGlobe KE.
My advanced academic training forms the backbone of my current professional skill set, enabling me to apply theoretical concepts from instrumentation—such as data acquisition, measurement accuracy, and automation control—to real-world projects involving ESP32, ESP8266, STM32, Raspberry Pi, and Arduino platforms.
This synergy between education and practice allows me to design intelligent, connected systems that integrate hardware, firmware, and cloud technologies. My work at ChipGlobe and Carenuity platform exemplifies how postgraduate background evolves into applied expertise in smart device engineering, AI at the edge, and advanced IoT ecosystems.
GitHub Repositories
Electronics & Instrumentation
Starred Projects
AI Team Lead
M.Sc. Electronics & Instrumentation | Mathematician & Physicist turned Embedded Systems Engineer. 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 WLED integration. Features customizable zones, EEPROM settings storage, and OLED real-time feedback.
Advanced Bluetooth Low Energy (BLE) iBeacon gateway using ESP32-C3. Detects and relays iBeacon advertisements with real-time proximity monitoring for indoor positioning and smart home automation.
Comprehensive library collection for ESP8266/ESP32 projects featuring various sensors, displays, and IoT integrations for smart device development.
ESP32-C3-Mini environmental monitoring system with AI insights integration. Advanced statistical analysis and cloud-based predictions.
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.
Environmental monitoring solutions on Carenuity platform featuring air quality, temperature, humidity, pressure, CO2, and TVOC sensing with smartphone app integration and Matter compatibility.
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.