Spark, Java, Devops, Hadoop, Scala, Python, Etl, Relational Databases, ML algorithms, data management technology, cloud-based AI platforms, non-relational databases

MLops, FastAPI, Python, AWS, LangChain, Open Source LLMs, Agent Architectures, LangGraph, SageMaker, GraphRAG, ComfyUI, RAG, Generative Content Pipelines, Gen3D, MCP, Gen2D, Stable Diffusion

Algorithms, Machine Learning, Data Structures, Python, Agent framework development, LLM fundamentals, RAG optimization, SFT for LLMs, RLHF

Java, Machine Learning, Data Mining, Deep Learning, Tensorflow, Pytorch, MLops, Pattern Recognition, Python, Random Forests, Model Training Pipelines, Recommendation Systems, Model Monitoring, Gradient Boosting Machines, Learning to Rank

Python Programming, Agile Project Management, Pytorch, LangChain, data visualization packages, boosting models, GenAI solutions, transformer models, AI applications

snowflake , S3, Pyspark, AWS Glue, Kafka, Docker, Data Governance, Python, BigQuery, Collibra, Redshift, Sql, MLops, Spark, Kubernetes, Airflow, Purview, Alation, Great Expectations, MLflow, Feast, GitHub Actions, Apache Atlas, Vertex AI, Kubeflow, Evidently, DataHub, SageMaker, dbt, GCS

Orchestration, Azure Databricks, XGBoost, Spark, Python, Etl, scikit-learn, governance frameworks, data quality validation, model performance tracking, Production Monitoring, cloud data platforms, drift detection, feature engineering

Jenkins, Pandas, Docker, Pytorch, Azure cloud services, Python, Sql, Microsoft Azure OpenAI Claude, Generative AI apps, CI CD

Azure Databricks, XGBoost, Spark, Python, Etl, scikit-learn, governance frameworks, data quality validation, pipeline orchestration, model performance tracking, Production Monitoring, cloud data platforms, drift detection, feature engineering