Bridging advanced research in Neuroevolution and Computer Vision with Economics & Finance to build scalable, production-ready ML solutions.
- 🎓 MSc in AI & Machine Learning from the University of Birmingham.
- 📈 B.A. in Economics & Finance, providing a unique quantitative perspective on data.
- 🛠️ Currently focused on MLOps, Evolutionary Computation, and Time-Series Forecasting.
- 💡 Passionate about making complex AI models explainable and business-ready.
| Category | Tools & Technologies |
|---|---|
| Languages | Python (Expert), SQL, Bash, PySpark |
| AI / ML | PyTorch, TensorFlow, Scikit-Learn, HuggingFace, Optuna |
| Specializations | Computer Vision, NLP (LLMs/RAG), Neuroevolution (NEAT), Time-Series |
| Data Engineering | Azure Data Factory, Microsoft Fabric, Spark, ETL Pipelines |
| DevOps / MLOps | Docker, Git, MLflow, CI/CD, Linux |
| Visualization | Power BI, Tableau, Matplotlib |
An MSc dissertation project using NEAT with Adaptive Operator Selection (AOS) for online forecasting in non-stationary financial environments.
A Python library for automated financial ratio analysis, including Altman Z-Score, WACC, and liquidity metrics.
pip install FinRatioAnalysis
A production-style MLOps pipeline built on the City of Grand Rapids crash dataset.
Computer Vision implementation using K-means clustering for medical image processing and segmentation.
- Machine Learning in Production (DeepLearning.AI)
- Scrum Master Certified (SMC)
- Scalable Machine Learning with Apache Spark (Databricks)
- Enterprise Design Thinking Practitioner (IBM)
