I'm an Electrical & Electronics Engineering graduate building practical solutions with Python, Machine Learning, APIs, IoT, and AI.
My engineering background gives me a systems-oriented approach to problem solving, while my AI/ML work focuses on building, evaluating, and deploying data-driven solutions.
- 🤖 Machine Learning & Deep Learning
- 🐍 Python development
- 🔌 AI/ML APIs with FastAPI
- 🌐 REST API integration
- 📊 Data preprocessing, feature engineering & model evaluation
- 🧠 Generative AI, LLM applications & AI agents
- ⚡ IoT + Machine Learning
- ☁️ Cloud and MLOps fundamentals
Languages: Python · C++
Machine Learning: Scikit-learn · TensorFlow · PyTorch · XGBoost · Feature Engineering · Model Evaluation · Hyperparameter Optimization
Backend & APIs: FastAPI · REST APIs · Django · API Integration
DevOps & Cloud: Git · GitHub · Docker · Linux · AWS
Tools: Jupyter Notebook · VS Code
IoT-Based Smart Energy Monitoring & ML Anomaly Detection
An engineering project combining ESP32-based energy monitoring with machine learning to identify abnormal electrical consumption patterns.
The project brings together:
Electrical Engineering → IoT → Data Acquisition → Machine Learning → Anomaly Detection
4G Radio Frequency Engineer Intern — Huawei Technologies Nigeria Limited
Worked with 4G network performance monitoring, KPI analysis, root-cause analysis, troubleshooting, and technical investigations within production telecommunications systems.
- Oracle Cloud Infrastructure 2025 Certified Generative AI Professional
- Oracle Cloud Infrastructure 2025 Certified AI Foundations Associate
- Networking Basics
- Network Devices and Configuration
My goal is to grow into an AI/ML Engineer capable of taking machine-learning solutions from experimentation to reliable, production-oriented systems.
I'm particularly interested in:
AI Engineering · Generative AI · LLM Applications · AI Agents · MLOps · AI Automation
- LinkedIn: linkedin.com/in/anuoluwapo-akinshe
- GitHub: github.com/anuoluwaMLops
- Email: boluwatifeakinshe@gmail.com