Tensorflow, MLops, Pytorch, Python, inference efficiency, model versioning, GPU acceleration, GAN, automated retraining systems, evaluation pipelines, Generative Video AI, model optimization

Java, Postgres, Kafka, Python, Hana, Go, GRPC, AI ML frameworks

Git, Pytorch, Linux, Python, Cuda, NVIDIA, AMD, Intel

Python programming for ML and automation, MLOps practices and ML lifecycle management, Kubernetes for orchestration, Docker for containerization

object detection , Machine Learning, Deep Learning, Python, Computer Vision, AWS Bedrock, AI ML Pipelines, image segmentation, NVIDIA AI Platforms, AWS SageMaker, Image Classification, Large Language Models

Algorithms, Hadoop, Kafka, Node.js, Tensorflow, Django, React, Gcp, Pytorch, Docker, Spark, data structures, Azure, Kubernetes, Python, AWS, Airflow, scikit-learn, transfer learning, generative AI technologies, prompt engineering, Vector Databases, RAG architectures

Tensorflow, Java, Springboot, Gcp, Pytorch, Azure, Python, AWS, Google BigQuery, Azure Data Explorer

Machine Learning, Deep Learning, Python, distributed AI systems, AI engineering, autonomous AI systems, ML system architecture, platform engineering, agent frameworks, AI system architecture, large language models, cloud-native architectures, RAG pipelines

data strategies , Machine Learning, fine-tuning, AI research, training methodologies, data annotation, AI quality assurance, LLM evaluation