Welcome to my LinkedIn page,As an Industrial Engineer with a special focus on AI and Data Science, I am deeply committed to solving complex problems, particularly in healthcare. Currently leading a talented team of 8 at Kantify, I actively contribute to a dozen drug research programs aimed at discovering cures for cancers and rare diseases. Our collective efforts at Kantify are centered around embracing challenges and cultivating innovation.In my 7 years journey as a Machine Learning Engineer, I have encountered a spectrum of technical challenges, contributing to my growth and the strategic development of the organizations I've worked with.MY TECHNICAL PORTFOLIO INCLUDES:• Python Proficiency: With a strong grasp of data engineering, I utilize numpy, pandas, and polars, and develop Machine Learning solutions using Pytorch, Tensorflow, XGBoost, and more. I am committed to coding excellence and rely on tools like Flake8 and Pytest to maintain high standards.• Database Management: I have extensive experience in building, deploying, and managing databases including Postgres, MySQL, and Redis, ensuring robust data architecture.• DevOps Practices: I am adept in deploying and managing applications with Docker, Kubernetes, and related technologies, reinforcing infrastructure with Git and Gitlab CI/CD pipelines.• MLOps & DataOps: I streamline AI and data operations employing tools like Mlflow and Dagster to enhance efficiency and performance.One of my proud contributions is the development of Kantify's Drug Discovery platform, aimed at revolutionizing drug development processes. My experience also extends to consulting, where I have led diverse projects such as predictive web applications at a national scale.I am eager to connect and discuss how we can collaborate. Together, we can combine visions and expertise to drive meaningful change.