Teaching machines to learn, reason, and create
Responsible AI, bias detection and mitigation, model explainability, AI regulation, and AI risk management frameworks.
GPU computing, distributed training, model serving, inference optimization, and AI platform engineering.
Image classification, object detection, segmentation, video analysis, OCR, and generative vision models.
ML pipelines, feature engineering, model training and evaluation, MLOps, experiment tracking, and model deployment.
Text processing, transformers, prompt engineering, RAG, fine-tuning, embeddings, and LLM application development.