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

Deep Learning, Nlp, Machine Learning, Computer Vision, Generative modeling, Representation learning, reinforcement learning, Optimization, Multimodal foundation models, Statistical Modeling, Large Language Models

Spark, Databricks, Python, Auc, Roc, Delta Lake, MLflow, feature engineering, CI CD

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

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

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

Machine Learning, MLops, Python, a/b testing, Real-time Model Deployment, TensorFlow/PyTorch

Tensorflow, Machine Learning, Pytorch, Opencv, Ocr, Python, Computer Vision, Deep Learning, GenAI, LLMs, PIL