Sudharsana Premchand

AI Researcher & Machine Learning Engineer with 4+ years of full-time experience designing and evaluating deep learning systems for multimedia forensics and applied AI. My work spans deepfake detection (image, video, audio), transfer learning architectures (EfficientNet, Inception-ResNet-V2), LSTM-Autoencoders, and ensemble modeling — with publications in IEEE and Springer venues. Strong foundation in Python, PyTorch, TensorFlow, and large-scale data preprocessing pipelines. NVIDIA-certified in Real-Time Video AI and experienced in building end-to-end ML workflows from research prototyping to performance evaluation. Interested in roles focused on applied AI, computer vision, and trustworthy ML systems — where rigorous research meets scalable product engineering.