About

About

I’m Eya Garci, an experienced Machine Learning Engineer with a six-year track record, currently contributing to innovative projects at HP. I possess skills in Python, Java, and C++, and I’m familiar with DevOps practices for seamlessly integrating machine learning models into operational workflows.

I’m dedicated to delivering excellence and have a diverse skill set in areas such as Machine Learning, Deep Learning, Computer Vision, OCR (Optical Character Recognition), and NLP (Natural Language Processing). This enables me to contribute effectively to various aspects of AI applications.

I also have practical experience in MLOps, ensuring that machine learning models are not only developed well but also seamlessly integrated into day-to-day operations.

In addition to these skills, I’ve explored Recommender Systems and Generative Models, demonstrating proficiency in advanced machine learning techniques. This makes me a well-rounded professional prepared to tackle diverse challenges in the ever-evolving field of artificial intelligence.

In summary, my goal is to stay updated with the latest tech trends and leverage my skills to drive innovation and success in machine learning and AI.