Professional Overview
AI Engineer and Master's student specializing in neural networks, machine learning, and deep learning. Proven track record of building production-ready AI systems including fraud detection models achieving 59.3% F1-Score and neural networks with 97.46% accuracy. Experienced in full-stack AI application development, RAG systems, and deploying scalable ML solutions. Strong foundation in Python, TensorFlow, PyTorch, and modern AI frameworks.
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.