Python, Databricks, Sql, Data Mining, Pyspark, Machine Learning, MLops, Artificial Intelligence, MLflow, Mosaic AI, R, Databricks SQL, Statistical Modeling

API design, Spring Boot, Microservices, Kubernetes, Automated Testing, CI CD, Cloud-native patterns, Release rollback strategies, Python 3.x, Event-driven architecture, AI ML inference patterns, MLOps concepts

Data Mining, Sql, Databricks, Pyspark, Machine Learning, MLops, Artificial Intelligence, Python, MLflow, Mosaic AI, Databricks SQL, R, Statistical Modeling

Kubernetes, Sql, Java, Tableau, AWS, Kotlin, Python, Sap Business Objects, Docker, Gcp, Nlp, Spark, transformer architectures, benchmarking datasets, Go, Looker, PEFT, model alignment, LLM techniques, R-Shiny, LoRA, evaluation pipelines, Microstrategy, prompt engineering

Python, Ai

Python, Retrieval-based Systems, Self-supervised Learning, Embeddings, Transfer Learning, Similarity Search, Foundation-model Concepts, Fine-tuning

Testing, Python, LLM workflows, data ML systems, iteration, Monitoring

Distributed Systems, Databricks, MongoDB, Python, Sql, LLMs, RAG, prompt engineering