Professional Overview
AI/ML Engineer with hands-on experience in computer vision, having built YOLOv8 and CLIP-based validation systems with 92% accuracy, processing 1,000+ images daily. Skilled in Python, TensorFlow, PyTorch, and deep learning, with additional experience in backend development (Django, Flask) and LLM/RAG workflows. Strong problem-solving background, ra
Experience
AI Expertise
Skills
Employment Type
Education
Field of Study: ARTIFICAL INTELLIGENCE AND MACHINE LEARNING
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
