production deployment , Python, vector stores, monitoring of AI ML solutions, retrieval strategies, re-ranking, embedding models, multi-step agent workflows, prompt engineering, RAG architectures

Retrieval-Augmented Generation (RAG), Api, Python, Microservices, LangGraph, Langchain, Agentic AI, LLMs, backend services

data mining, Python, Data Analysis, R, econometric optimization models

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

Machine Learning, XGBoost, Excel, Sql, Python, Random Forest, R

Databricks, Azure, Python, Sql, Deep Learning, AWS, graph algorithms, Statistical AI

snowflake , Machine Learning, Hadoop, Spark, Tableau, Redshift, Python, Sql, R

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

Tensorflow, Pytorch, Azure, Python, AWS, Generative AI technologies, OpenAI Gemini, Scikit-Learn

Matplotlib, Power Bi, Csv, Pyspark, Apache Spark, Tableau, Json, Sql, ELT, Numpy, Pandas, Azure Data Factory, Gcp, Seaborn, Databricks, Rest Apis, Azure, Python, Etl, AWS, scikit-learn, data visualization tools