ML Architect / Data Science

Expert in AWS Cloud, Data Science, and Machine Learning. Ex AWS with over five years of experience across various industries. Specialized in creating productions ready solution and helping businesses to understand and utilize their data effectively.

• Amazon Web Services (AWS)
• Big Data
• Data Science
• Docker
• Generative KI
• Maschinelles Lernen
• MLOps
• Python
• Terraform

I hold an M.Sc. in Data Science and am a 4x certified AWS Cloud Engineer specializing in Machine Learning and DevOps.

My passion for learning and open source led me to recently publish a Python library called "omegaconf-cloud-resolvers."

Additionally, I have entrepreneurial experience, currently working on building my own SaaS powered by a Retrieval-Augmented Generation (RAG) system.

This experience, along with my years as a consultant, has helped me develop and value essential soft skills such as effective communication with customers and proactive problem-solving.

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If you like my profile, but you would like to know more, clarify anything or talk about references, please do not hesitate to contact me. I look forward to speaking with you.

I invite you also to take a look to my CV, there you'll find more information about my previous projects.

I am proficient in Python and have extensive experience with AWS Cloud, with exposure to GCP as well.

I have participated in several data science projects in the past, covering from data analysis and processing to design and train of models (time series and NLP, among others) and deployment of them into production.

Being very production-oriented, I am well-versed in Git, Docker, Terraform, and common CI/CD practices.

I also have experience with technologies like Redis, SQL databases, new trending technologies like LLM and vector databases such as Qdrant.