About Me

By profession, I am an experienced data scientist with a strong background in machine learning applications including but not limited to recommender systems, personalisation, fraud detection,and supply chain optimization. I am a data privacy and open source advocate. I care about the society we live in, where we are headed and how we can contribute to a better future.

Professional Background

With 10 years of experience in data science and software development in roles of:

a data scientist, solving business problems with machine learning models
a software engineer, developing scalable and efficient AI systems
a customer success engineer, ensuring customer satisfaction and retention for AI products

Technical Expertise

My core technical skills include:

Backend Development: Python (FastAPI, Plotly, polars, vector databases), SQL (Hive, Exasol, BigQuery, Snowflake)
Data Visualization: Plotly, Streamlit
DevOps & Cloud: Google Cloud Platform (GCP), MLFlow, Terraform, Airflow, Git, Docker
Machine Learning: PyTorch, Scikit-learn, HuggingFace, CatBoost, LightGBM, Sentence Transformers
Data Science Tasks: A/B Testing, Reranking, Candidate generation, Clustering

Work Philosophy

I believe in:

Impactful Work: Creating solutions that make a meaningful difference
Transparent Communication: Maintaining clear and honest communication throughout projects
Quality Code: Writing clean, maintainable, and well-documented code
Continuous Learning: Staying current with emerging technologies and best practices
API Design: Designing APIs that are intuitive, scalable, and easy to use

Outside of Work

I enjoy stargazing trips, reading non-fiction books, watching and playing some Tennis. I identify with consumption-critical and minimalism ideologies.

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