Machine Learning, Artificial Intelligence, Python

state management , Python, RAG embeddings, LLMs, inference cost, service development, asynchronous processing, testing observability, production error handling, model economics, automated LLM evaluation, structured tool calling, context windows

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

Tensorflow, Pytorch, Python, Data ML Pipelines, Applied Statistics, Agentic Architectures, Evaluation Frameworks, Eval and Observability Tooling