Electromechanical Engineer | AI Engineer | Full Stack Developer | Industrial Automation and IoT Systems
I build systems where machines, sensors, data, and software work together.
My background combines electromechanical engineering and computer science. I work across industrial automation, AI applications, full stack development, IoT platforms, data systems, and intelligent monitoring.
I focus on practical systems from sensor level data collection to machine learning models, APIs, dashboards, deployment, and remote operations.
- Industrial automation and control systems
- AI and machine learning applications
- IoT and edge intelligence
- Predictive maintenance and fault detection
- Full stack software for engineering workflows
- Sensor data pipelines and remote monitoring
- Industrial digitalization and smart systems
- Natural Language Processing
- Amharic NLP
- Classification and prediction systems
- Time series analysis
- Computer vision fundamentals
- Explainable AI
- Model evaluation and experimentation
- ETL and ELT pipelines
- Sensor data processing
- Data cleaning and transformation
- Analytics workflows
- Structured and unstructured data handling
- Reporting and visualization
- Backend architecture
- API design
- Authentication and authorization
- Database integration
- Full stack interfaces
- Dashboard development
- Engineering tools for web workflows
- Containerization
- Reproducible environments
- CI and CD fundamentals
- Experiment tracking
- Monitoring and observability
- Deployment workflows
- PLC programming
- HMI and SCADA development
- Sensor and actuator integration
- Encoder based systems
- Electrical panel design
- Diesel generator systems
- UPS systems
- Control logic and troubleshooting
- Remote telemetry
- Edge device integration
- Sensor networks
- Fuel monitoring systems
- Smart machine monitoring
- Cloud connected field systems
- Remote dashboards and alerts
| Area | What I Build |
|---|---|
| AI Systems | NLP, prediction, classification, explainability, intelligent analytics |
| Full Stack Development | APIs, frontend dashboards, authentication, data driven applications |
| Data Systems | ETL pipelines, analytics, model workflows, telemetry pipelines |
| Automation | PLC logic, HMI, SCADA, industrial controls, troubleshooting |
| IoT | ESP32 systems, MQTT pipelines, sensor monitoring, edge devices |
| Engineering Systems | Generators, UPS systems, panel work, electrical integration |
| Project | Description | Tech Stack | Link |
|---|---|---|---|
| Amharic News Classifier | NLP model for classifying Amharic news articles | Python, Transformers, Flask | Repository |
| Amharic POS Tagger | Part of speech tagging system for Amharic language | Python, CRF, NLTK | Repository |
| Amharic Chat Bot | Conversational AI chatbot for Amharic | Python, Rasa, TensorFlow | Repository |
| Sentiment Stock Predictor | Stock prediction using sentiment analysis from news | Python, LSTM, yfinance, Flask | Repository |
| Fintech App Analytics | Review scraping and analytics for fintech applications | Python, Selenium, TextBlob, Dash | Repository |
Sensors / APIs / Documents / Industrial Machines
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Data Acquisition and Validation
↓
Processing, Cleaning, Transformation
↓
Machine Learning or Control Logic Layer
↓
Backend API and Service Integration
↓
Frontend Dashboard or User Interface
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Deployment, Monitoring, and Maintenance
- AI systems for language, prediction, and analytics
- Smart industrial monitoring solutions
- Full stack applications for engineering use cases
- IoT platforms for field data collection
- Predictive maintenance and anomaly detection systems
- Dashboards for machine and business visibility
- Integrated systems from hardware to software
- Industrial AI
- Predictive maintenance
- Remote machine monitoring
- Smart manufacturing systems
- Amharic language technology
- Edge intelligence
- Applied machine learning in real operations
Building intelligent systems from industrial hardware to production ready software.
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