Tensorflow, Hive, Hadoop, Pytorch, Docker, Kubernetes, Python, Sql, Deep Learning, GenAI, LLMs

tokenization , Machine Learning, Natural Language Processing, SAS, Data Modeling, Sql, Deep Learning, Pandas, Hive, Numpy, Spark, Python, NLP based n-grams methodology, Data Analysis, AI techniques, statistical models, fuzzy matching, Sanctions Screening, phonetics, name-matching, similarity scoring, R

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

Machine Learning, Neural Networks, Sql, Tensorflow, Numpy, Pandas, Pytorch, Time Series Analysis, Python, scikit-learn, Probabilistic Forecasting, Gradient Boosting, Tree-based Models, Statistical Modeling, statsmodels

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

Pytorch, Sql, Python, Data Visualization

Machine Learning, Pyspark, Databricks, Python, Sql, AWS