Contact
📞 +254 740 566 764
✉️ alexhaya19@gmail.com
đź”— LinkedIn
📍 Murang’a, Kenya
…
Electronics & Hardware: Circuit Design · PCB Layout · Power Electronics · Analog & Digital Electronics · Instrumentation · Signal Processing · Power Quality Analysis · EV Charging Firmware
Control & Automation: Control Systems · PLC Programming (IEC 61131-3) · ROS 2 Control · ANFIS · PID · MPC · PSO–MILP
Embedded Systems: Embedded C · FreeRTOS · ESP32 · ATtiny/AVR · STM32 · Firmware Architecture · I²C/SPI/UART · ADC/DAC
Software & AI: Python · C++ · MATLAB/Simulink · VHDL/Verilog · MQTT · FastAPI · Celery · Docker · Machine Learning (CNN-LSTM, ANFIS) · FPGA · PyQt5 · React · Node.js
Curated highlights of my portfolio showcasing embedded IoT systems, advanced control solutions, power-energy monitoring, and AI-driven analytics.
Biometric-Attendance-system-V2.0
Developed a secure, fingerprint-based attendance platform on ESP32/NodeMCU. Implemented on-device template matching, encrypted MQTT synchronization, and enterprise-grade reporting.
Iot-Project-on-water-quality-monitoring-main
Engineered a water-quality monitoring solution using Arduino Mega, ESP8266, and ADS1115 ADC to capture pH, turbidity, and TDS readings. Integrated Firebase cloud logging and a React dashboard with real-time alerting.
MicroCore
Enhanced the ATtiny13 Arduino core with optimized bootloader support, streamlined peripheral APIs, and example sketches for ultra-low-power sensor-node deployments.
pso-milp
Implemented a hybrid PSO–MILP framework (Pyomo & PySwarms) to optimally allocate capacitors on 11 kV feeders, reducing network losses by 15 % while maintaining voltage within ±5 % of nominal.

OptimalCapacitorPlacement-master
Created a MATLAB MILP model automating capacitor sizing and placement using feeder impedance data and operational constraints to minimize reactive power demand.
dc_motor_training_station
Designed an ANFIS-driven DC motor training station combining MATLAB/Simulink FIS development with Python-automated data acquisition and parameter tuning.
Motors-matlab
Authored MATLAB scripts and Simulink models for DC and induction motor characterization, covering frequency-domain analysis and time-domain control validation.
Smart-Power-Quality-Monitoring-System-master
Led development of a Raspberry Pi-based power-quality monitor using ACS712 current and ZMPT101B voltage sensors with ADS1115 ADC. Delivered waveform analysis, THD computation, and event-driven alerting via Firebase.

open_evse
Contributed to C/C++ firmware for J1772-compliant EV chargers, focusing on secure session management, fault-detection routines, and CAN-bus telemetry to meet industry safety standards.

Fault-Prediction-for-Industrial-Motors-using-Machine-Learning-main
Architected and trained a CNN-LSTM model in Jupyter for early detection of induction motor anomalies using thermal imagery and current signatures; validated >95 % accuracy and deployed real-time inference via TensorFlow Serving.
AudioGPT-main
Developed a Python audio assistant integrating OpenAI Whisper for transcription and GPT-4 for contextual dialogue; packaged as a cross-platform CLI/GUI application with live audio feedback loops.
QuickCart-main
Built a full-stack e-commerce prototype using React and Node.js with JWT authentication, dynamic product catalogs, shopping-cart workflows, and simulated checkout processes.
chatpdfconverter
Created a TypeScript utility that parses PDF documents, generates semantic embeddings via OpenAI APIs, and exposes an Express-based chat interface for interactive Q&A.
saas-builder-main
Developed a modular FastAPI & SQLAlchemy boilerplate for SaaS applications, including Stripe billing integration, role-based access control, webhooks, and Dockerized CI/CD pipelines.
openco
Authored a JavaScript CLI to generate context-aware Git commit messages using local or remote LLMs, streamlining developer workflows.
modelscope-agent
Extended an LLM agent framework to integrate custom tools, retrieval-augmented generation, and long-term memory for domain-specific automation.
PraisonAI
Architected a Python multi-agent orchestration platform with Redis messaging and a low-code UI, enabling scalable distributed workflows.
SuperAI
Enhanced the SuperAGI toolkit to improve autonomous task planning, resource scheduling, and reliability in agent deployments.
extensionOS
Integrated LLMs, generative vision, and speech recognition into a browser extension, enabling seamless AI-driven interactions across web applications.
For detailed architecture diagrams, implementation insights, and live demonstrations, please refer to each project’s README.