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, MLops, Databricks, Python, Forecast accuracy evaluation, SHAP explainability, Regression forecasting, MLflow, Ensemble methods

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

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

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

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

S3, Sns, k-means, Python, Api Gateway, Dynamodb, Kms, Owasp, Sqs, Iam, FastAPI, AWS CDK, FHIR R4, scikit-learn, Pydantic v2, LOINC, Aurora PostgreSQL, snomed, EventBridge, OpenSearch Serverless, HDBSCAN, k-NN algorithms, Step Functions, RxNorm, HL7 v2, ECS Fargate, USCDI