Power Bi, Natural Language Processing, Tableau, Sql, Deep Learning, Tensorflow, Git, Pytorch, Spark, Databricks, Azure, Python, AWS, data pipeline development, scikit-learn, machine learning frameworks, DevOps practices, R, ETL processes

text classification , Sql, Git, Docker, Python, LangChain, multi-agent systems, embeddings, input output validation, RAG platforms, LLM-as-judge, offline eval sets, LLM-based inference, regression tracking, graph RAG, DSPy, feature engineering, NER, LlamaIndex

Tensorflow, Pytorch, Sql, Python, scikit-learn, MLOps practices and tools

Java, Scipy, PostgreSQL, Tensorflow, Numpy, REST, Pandas, Pytorch, Gcp, Docker, Sql Database, Azure, SQLServer, Oracle, Kubernetes, Python, Spring Framework, AWS

Node.js, Tensorflow, Typescript, Javascript, Pytorch, Docker, Kubernetes, Python, CrewAI, Generative AI, scikit-learn, Agent-to-Agent A2A protocols, Hugging Face Transformers, Model Context Protocol MCP, OpenAPI standards, AutoGen, LangGraph, NLP techniques, LLM technologies

simulated annealing , Machine Learning, Redshift, Sql, Nlp, Python, AWS, Generative AI, Testing discipline, heuristics, Integer Programming, Statistics, Schema definition, API service contract design, Optimization, SageMaker, Glue, Athena, Simulation

Pytorch, Sql, Python, Data Visualization

Numpy, Sql, Keras, Java, Pandas, Pytorch, Python, Docker, Javascript, scikit-learn, Langchain, RAG, OpenAI API

Tableau, Sql, Excel, Decision Trees, Hadoop, Pyspark, Machine Learning, Hive, Python, XGBoost, Data Handling, feature engineering, GenAI, Modeling, Powerpoint, Regression

Sql, Python, Bayesian causal modeling, R, regression-based models, uplift modeling, cloud-based data platforms, causal inference techniques