I'm a Senior Machine Learning Engineer passionate about building reliable, scalable, and interpretable systems.
My focus areas are machine learning, MLOps, and data quality, with a strong emphasis on shipping reliable solutions to production, operating in agile, fast-moving environments like AdTech.

🛠 Currently Building:
Rustwise: a fast, minimalistic machine learning library in Rust, handcrafted to deeply understand and reimplement core ML algorithms from scratch. I design and code every component, from Bayesian logistic regression to perceptrons, with performance and clarity in mind.

💡 Core Interests:

• Machine learning in production
• Data quality and observability
• Scalable and efficient engineering
• Making complex systems simple and robust

🚀 Skills:
Machine Learning, Deep Learning, Statistical Modeling, Data Quality Management, MLOps (Docker, Kubernetes, Airflow), Big Data (Spark, Polars), Python, Scala.

🤝 Let's Connect:
I'm always happy to exchange ideas about data, machine learning, and building impactful systems.
Feel free to reach out on LinkedIn or just watch this space for new projects!