data engineering , Machine Learning, Tableau, Tensorflow, Numpy, Pytorch, Python, AWS, Time Series Analysis, Api Development, Sql, Git, Pandas, MLops, Gcp, Azure, Large Language Models, LangChain, Generative AI, LLMOps, Scikit-learn, Dataiku, LlamaIndex, ETL workflows

LangSmith (tracing, evaluations), Python, Pyspark, Sql, XGBoost, metrics, Scikit-Learn, LightGBM, Random Forest LangChain, LangGraph

Data Cleansing, data structures, test strategy development, propensity models, AI ML modeling, performance validation, recommendation engines

Git, Machine Learning, Python, Sql, Agentic AI solutions

Machine Learning, Pyspark, Databricks, Sql, Python, Deep Learning, Cloud Systems, Large Data Sets, Ai, Data Platforms

Cloud, Distributed Systems, RAG agentic retrieval, NLP representation learning, AI-native engineering practice, Language runtime fundamentals, Information retrieval ranking, Evaluation experimentation, Search infrastructure at scale

Spark, ML Ops, Applied ML

Azure Databricks, Tensorflow, Pytorch, MLops, Python, LangChain, LLM application development, reinforcement learning, CNNs, prompt engineering, LangGraph, enterprise AI security, RAG, NLP techniques, Vision Transformers, Transformer architectures

Hadoop, Natural Language Processing, Sql, Tensorflow, Pytorch, Gcp, MLops, Docker, Spark, Keras, Azure, Python, Kubernetes, AWS, LangChain, DSPy

causal inference , prophet , Sql, Tensorflow, Pytorch, MLops, Databricks, Python, Airflow, data pipelines, scikit-learn, PyMC, Stan, Bayesian modeling, R, dbt, Experimental Design, hierarchical models, feature engineering