Structured Query Language, Kubernetes, Python, large language models, Relational Databases, generative AI applications, data analysis techniques, automated build test and deployment pipelines, agent frameworks

Machine Learning, Data Mining, Nosql, Typescript, Javascript, Postgres, Python, AWS, Rust, Data Structures, Sql, Redis, Algorithms, Information Retrieval, Azure, Kubernetes, Go, Svelte, OpenSearch, Next.js, LLMs, Statistics, Anthropic, OpenAI

Ml, Tensorflow, Gcp, Pytorch, MLops, Azure, Kubernetes, Python, AWS, GenAI, scikit-learn, Llm

Machine Learning, Azure Databricks, Sql, Tensorflow, Git, Pytorch, XGBoost, Azure Synapse Analytics, Azure, Azure Machine Learning, Python, Statistical Analysis, Feature Engineering, Model Lifecycle Management, LightGBM, Scikit-learn, Cloud-based Data Science and Analytics, Production ML, Microsoft Fabric

Python, LangChain, Statistical Programming Software, Weights Biases, embeddings, Research Analysis, Structured Query Language SQL, vector databases, MLflow, DL techniques, Traditional ML, Machine Learning Engineering Fundamentals, Statistical Methods, prompt engineering, LangGraph, GenAI frameworks, Large Language Models, RAG architectures

SAS, Sql, Python, quantitative modeling methods, R, AML risk models, AI ML model development

Python, MLOps practices, LLM architectures, fine-tuning techniques, evaluation metrics for generative models

SAS, Sql, Python, Github, R, R-markdown, Jupyter notebooks