Professional Overview
PhD in Computer Science with 5+ years of experience applying machine learning to secure IoT networks. Specializing in developing scalable and adaptive intrusion detection systems using real-world datasets. Proficient in Python, PyTorch, Scikit-learn, and data visualization. Experienced in feature engineering, model optimization, and performance evaluation. Strong publication record and teaching experience with a passion for applied problem-solving in cybersecurity and intelligent systems. Taught courses in computer science, actively engaged in research, and developed a diverse portfolio of publications that demonstrate my enthusiasm for solving challenges in applied cybersecurity and intelligent systems.
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.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
