I’m Eya Garci, an experienced Machine Learning Engineer with 8 years of experience, currently contributing to innovative AI projects at HP. I specialize in building end-to-end machine learning systems, combining strong skills in Python, C++, and Java with robust DevOps/MLOps practices for scalable and production-ready solutions.

My areas of expertise include:

• Machine Learning & Deep Learning: Solid foundation in supervised, unsupervised, and self-supervised learning.
• Computer Vision & OCR: Experience in image recognition, object detection, segmentation, and optical character recognition.
• Natural Language Processing (NLP): Applied expertise in text classification, NER, and language modeling.
• Recommender Systems: Design and optimization of personalized recommendation engines.
• Reinforcement Learning: Application to sequential decision-making and optimization problems.
• Large Language Models (LLMs): Fine-tuning, prompt engineering, and deploying LLMs for real-world use cases.

I focus on integrating these technologies into real-world workflows, consistently aiming to enhance system performance and business impact across diverse applications.