Professional Overview
Final-year PhD candidate in Machine Learning and Neuromorphic Computing, specializing in deep learning, scalable AI, and real-time anomaly detection. Experienced in computer vision (auto-encoders, semantic segmentation), hardware-aware ML (neuromorphic AI), and large-scale model training (multi-GPU, HPC). Published first-author articles in Q1 journals and international AI conferences. Strong background in Python, PyTorch, and TensorFlow, with experience in model deployment. Passionate about bridging research and industry applications, with hands-on experience in ML-driven SaaS and AI-powered solutions.
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.
