policy development , C, Optimization Algorithms, Tensorflow, Computer Vision, Pytorch, Python, LLMs, control theory, representation learning, 3D egocentric perception, deep learning frameworks, self-supervised learning, multimodal learning, reinforcement learning, Robotics, embodied AI

Natural Language Processing, Pytorch, Computer Vision, C, Tensorflow, Python, Jax, Machine Learning, Large Language Modeling, reinforcement learning

Machine Learning, Unsupervised Learning, Python, agentic AI, adversarial machine learning, reverse engineering model behaviors, debugging complex ML failure modes, supervised learning, generative models, investigating emerging technical threats, reinforcement learning, evaluating frontier AI systems, data poisoning, ML safety, prompt injection, ML interpretability, designing robust proactive defense mechanisms, multi-object optimization, adversarial robustness, model backdoor detection, adversarial machine learning AI agent security, red-teaming frontier AI systems

pruning , Pytorch, Python, sim-to-real evaluation, domain adaptation, pre-training, quantisation, Physical AI, Embodied AI, TensorRT, knowledge distillation, edge devices, model compression, embedded platforms, ONNX, Robotics, Foundation Models, real-time AI inference pipelines, Multimodal AI, computational graph optimisation, synthetic data generation

Deep Learning, user behavior modeling, Signal Processing, Generative AI, system identification, Transformers, environmental prediction, anomaly detection, AI and machine learning, time-series forecasting, time-series data, Control Systems

Machine Learning, Deep Learning, Transformers, Signal Processing, time-series data, Ai, Control Systems, user behavior modeling, environmental prediction, anomaly detection, system identification, time-series forecasting, Generative AI