AI Engineer | Data Scientist | Machine Learning Specialist
I'm an Data Scientist specialized in:
- Large Language Models (LLMs)
- Time Series
- Recommender Systems
- Predictive Models in Production
- MLOps Pipelines and Cloud-based Machine Learning (GCP, Azure)
- Graph Database
Currently working as Senior data Scientist at Bradesco Bank, leading initiatives in Generative AI and large-scale predictive modeling. Also Working as Co-Founder/ CTO at HappyKids.ai,a non-profit company focussing on the mental health and well-being of children and young people.
| Project | Description | Technologies |
|---|---|---|
| London Affordable Place to Live | Recommendation system for London rentals based on lifestyle, values and quality of life. | Gaussian AHP, Python, Flask, Docker |
| Didi, my daughter's virtual friend | virtual friend, designed, conceived, customised and created by and for my daughter, Anna Lua. | GPT-4, LangChain, Django, Docker, GCP and much more |
| Gasoline Demand Forecast | Forecasting gasoline demand using XGBoost and Prophet. | XGBoost, Prophet, Sarima, Plotly, Streamlit |
| AI-native BI Tool | BI dashboard with embedded GPT for automated insights. | GPT, Streamlit, SQL |
| ML Infra Pipeline | End-to-end ML pipeline built on GCP. | Vertex AI, BigQuery, Python |
- Languages: Python, SQL, Cypher
- Modeling: Scikit-learn, XGBoost, PyTorch, Prophet, Sarima, Gaussian AHP
- Infrastructure: Docker, GCP, Vertex AI, Azure ML
- Data Stack: Pandas, DBT, BigQuery, Spark
- Tools: Streamlit, LangChain, GitHub Actions, Weights & Biases