I am a Data & ML Engineer with over 10 years of experience building production-grade data systems across fintech, FMCG, and SME platforms. My work bridges the gap between data engineering, cloud infrastructure, and machine learning, with a heavy focus on near-real-time pipelines and scalable model deployment.
- Languages: Python, SQL, Rust
- Data Engineering: Data Modeling, Data Warehousing, Snowflake, Databricks, BigQuery, Airflow
- Machine Learning: Model Deployment, Model Training, RAG, Sklearn, PyTorch, Keras, OpenAI, Vector Databases
- DevOps & Infrastructure: FastAPI, CI/CD, IaC, AWS, Linux
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E-commerce Data Pipeline
End-to-end analytics pipeline using AWS S3, Databricks Declarative Pipelines, Delta Lake, dbt, and Tableau. -
Weather Data Pipeline
Automated pipeline ingesting weather data from an external API into S3 and Snowflake, orchestrated with Apache Airflow. -
Employee Churn Prediction
Machine learning project with multiple classification models, FastAPI-based inference service, Dockerized and deployed on Render. -
Face Recognition
Face recognition project focused on model training, hyperparameter tuning, and embedding-based inference using deep learning. -
Small Language Model
A Keras-based Transformer with a Rust/Axum inference service and ONNX quantization, deployed on local Kubernetes via kind.
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Or reach me at [email protected]