About
I’m a Data Scientist and ML/AI Engineer passionate about building smart, real-world systems that drive efficiency, automation, and innovation. With a PhD in Computer Science and advanced training in AI and engineering management, I combine deep research expertise with industry experience to design, innovate, and deploy robust ML solutions at scale.
Proficiencies
Data Science & ML
Forecasting, anomaly detection, digital twins.
- Python
- NumPy
- Pandas
- Scikit-learn
- XGBoost
- Time Series
- Statsmodels
- Feature Engineering
- Evaluation & Metrics
- Model Validation
MLOps & Cloud
AWS-native pipelines for scalable inference & monitoring.
- AWS
- Docker
- GitHub Actions
- CI/CD
- Lambda
- ECS
- S3
- API Gateway
- CloudFront
- CloudWatch
Stakeholder Communication
Cross-functional collaboration with product, engineering, and leadership teams.
- Roadmaps
- Experiment Design
- Prioritisation
- Requirements Gathering
- Stakeholder Alignment
- Technical Writing
- Dashboards
- Storytelling
- Presentations
- Leadership Comms
Building Simulation & Energy Systems
EnergyPlus, OpenStudio, BMS digital twins, HVAC modeling.
- EnergyPlus
- OpenStudio
- EPW/Weather Data
- IDF/Modeling
- HVAC Systems
- Heat Pumps (VRF)
- AHU & Ventilation
- BMS Integration
- Calibration & Validation
- Performance KPIs
Agent-Based Modelling
Simulation of agents and behaviors in dynamic systems.
- Python
- Mesa
- Scenario Design
- State & Policy Design
- Stochastic Simulation
- Experimentation
- Sensitivity Analysis
- Result Visualisation
- Reproducible Pipelines
- Streamlit/Flask UIs
Network & Geospatial Modelling
Graphs, mobility networks, and spatial simulations for real-world systems.
- GeoPandas
- Shapely
- NetworkX
- OSMnx
- Routing/Shortest Path
- Accessibility Metrics
- Folium/Leaflet
- Data Cleaning (Spatial)
- Projection/CRS
- Visualization
Projects/Demos
Skyral Transport ABM
A live agent-based transport scenario demo with tramline selection, agent types (drive, cycle, tram), and before/after metrics.
Mould Risk Prediction
Physics + ML hybrid for predicting condensation/mould in housing stock.
Energy Simulation API for ML Analysis
API wrapper for EnergyPlus/OpenStudio to generate building simulation features for ML workflows.
