AI ML, Tensorflow, Numpy, Pandas, Pytorch, Python, Data preprocessing, Scikit-learn, Feature engineering, Gen AI, System design principles, Agentic AI, Model evaluation techniques

Machine Learning, Tensorflow, Jenkins, Nlp, Docker, Pytorch, FastAPI, Python, Kubernetes, Gen AI, Uvicorn, Agentic AI, LLM Fine tuning

bedrock , S3, CDK, Quicksight, Tensorflow, Lambda, Ec2, Pytorch, Docker, Python, Java, Aws Services, Cloudformation, Scala, Emr, Sql, MLops, Kubernetes, Infrastructure as Code, Hugging Face, R, Generative AI, Scikit-learn, SageMaker, Glue, Transformers

Matplotlib, Hadoop, Power Bi, data mining, Big Data Technologies, Tableau, Google Cloud, Spark, Azure, Python, AWS, Machine Learning Algorithms, data visualization tools, R, MLOps practices, Statistical Modeling, cloud-based data platforms, feature engineering

Java, Scala, Sql, Nosql, Gcp, Data Architecture, Spark, Databricks, Azure, Kubernetes, Python, AWS, Event-driven systems, Delta Lake

Machine Learning, Natural Language Processing, MLops, Artificial Intelligence, Deep Learning, cloud, XGBoost, Tensorflow, Pytorch, generative ai, model training, fine tuning, prompt engineering, peft, machine learning evaluation, embedding, ai agents, rag, large language models, vector database, lightgbm, ml systems

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

Machine Learning, Python, Transformers, GenAI Technologies, AI Agents, Prompt Engineering, MLOps Practices

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