S3, Machine Learning, Pytorch, Docker, Sqlite, XGBoost, Postgres, Python, AWS, Matplotlib, Sql, Jenkins, Pandas, Information Retrieval, ML Pipelines, HuggingFace, LabelBox, OpenSearch, MosaicML, LightGBM, Amazon EKS, Scikit-learn, DVC, Transformers, NVIDIA NeMo, Jupyter

Azure ML, Docker, Pyspark, Sonarqube, Databricks, GitHub Actions

Deep Learning, Databricks, Tensorflow, MLops, Machine Learning, AWS, Pytorch, data mining, Python, Azure, Gcp, cloud environments, scikit-learn, CI CD for ML monitoring, Optimization, big data infrastructures

Machine Learning, Computer Vision, Deep Learning, Multimodal Learning, Generative Modeling, Representation Learning, Statistical Modeling, reinforcement learning, Large Language Models

snowflake , Machine Learning, Azure, Gen AI, Deployment

snowflake , Github, Cursor, Deep Learning, Tensorflow, MLops, Pytorch, Spark, Gitlab, Azure, Python, AWS, LangChain, CrewAI, LLMOps, Claude, AI Cloud architectures, Autogen, Agentic AI, Code Codex, Agentic Coding Frameworks

MLops, Python, Sql, AWS Bedrock, Transformers, LLM models, AWS SageMaker

Machine Learning, Sql, Spark, Python, Neural architectures, ML libraries, Regression, Gradient-boosted trees, ranking, Classification, Causal reasoning, Evaluation frameworks

Java, Graphql, Scala, Kafka, TigerGraph, MLops, Neo4j, Docker, Spark, Kubernetes, Python, AWS, Airflow, pgvector, Qdrant, Go, MLflow, Flink, Neptune, Kubeflow, Milvus