AI & Computer Vision Systems Engineer specialized in designing and deploying production-grade machine learning systems in cloud environments. My work focuses on building end-to-end AI systems that go beyond experimentation, particularly in computer vision and large-scale ML pipelines. I have strong experience developing scalable solutions for real-world applications, from data ingestion and model training to deployment, monitoring, and continuous integration. I specialize in:- Computer Vision systems for large-scale image analysis and automation - Designing and deploying ML systems in cloud platforms (GCP, Azure, AWS) - Building production ML pipelines with MLOps, CI/CD, and model monitoring - Developing AI solutions that integrate deep learning, LLMs, and distributed data processing I have led AI initiatives across industries such as agribusiness, retail, and banking, delivering systems actively used in production environments. My background combines applied mathematics, engineering, and AI, allowing me to bridge research concepts with scalable system design.