triton , Tensorflow, MLops, Pytorch, Kubernetes, Python, PEFT, Airflow, fine-tuning, Generative AI, LLMOps, Hugging Face, Ray, vector databases, LLM systems, large-scale retrieval systems, vLLM, Agentic AI, Distillation, TGI, LoRA, RAG architectures, model optimization

Java, Machine Learning, Cassandra, PostgreSQL, Dynamodb, Kafka, Redis, Sql, Tensorflow, Nosql, Pytorch, Docker, MySQL, Spark, Kubernetes, Python, Apache Iceberg, generative AI, Go, Apache Hudi, real-time inference, Large Language Models, model serving

S3, PostgreSQL, Tensorflow, Lambda, Javascript, Ec2, Pytorch, Docker, XGBoost, Python, Node.js, Redis, Opencv, FastAPI, MongoDB, Kubernetes, scikit-learn, Hugging Face, TensorRT, TorchScript, Pinecone, ONNX, Stable Diffusion, Detectron2, controlnet, YOLO, AWS SageMaker, Diffusers

lifecycle management , Scalability, Python, Machine Learning, Transformers, MLOps Practices, AI Agents, Observability, Prompt Engineering, Model Deployment, GenAI Technologies

Ml, San, Pytorch, Al

Spark, Azure, Python, AWS, Airflow, cloud ML platforms, MLFlow

Algorithms, Computer Vision, Debugging, data structures, Python, ML infrastructure, LLMs, Data Processing, GenAI techniques, model deployment, language modeling, model evaluation, Optimization, Multi-Modal Large Vision Models

Python Programming, React Js, Vision, Foundry ML, Evaluation, AI Search, LLMOps, LangSmith, RAG Agentic Frameworks, LangChain, RAGAS, Azure AI Stack, Azure Function Apps, CrewAI, Logic Apps, Document Intelligence, LangGraph

Memory Management, Python, AWS, Java, Scala, Apache Spark, Gcp, MLops, Databricks, Azure, model training, tool integrations, vector embeddings, retrieval systems, NLP techniques, semantic search, model monitoring, LLMOps, retraining strategies, drift detection, ML frameworks, feature engineering, prompt design, context orchestration