unstructured data , Spark SQL, Apis, Python, Agentic AI principles, Prompt engineering, Simulation Models, Tool-using AI agents, LLMs, Autonomous workflows, heuristics, GenAI ecosystems, Structured data, Operations Research Optimization, Linear Mixed Integer Programming, Utility-based agents, Multi-step decision systems, MLOps deployment pipelines, Data pipelines, Multi-agent systems

data preparation , Manufacturing Execution Systems (MES), Exploratory Data Analysis, Software Development, Sql, Python, Analytics solution development, Feature engineering, Statistical Modeling, R, Large-scale data processing, model validation, Image analytics, anomaly detection, Cloud-based data science and machine learning platforms

MLops, Python, Sql, R, Google Cloud GCP, LLMOps, Generative AI evaluation methodologies, cloud-native platforms, prompt engineering

Machine Learning, experimentation

snowflake , Github, Machine Learning, Sql, Deep Learning, Tensorflow, Pandas, Pytorch, Numpy, Bitbucket, Spark, Databricks, Python, LangChain, Airflow, scikit-learn, MLflow, graph database, cloud-native solutions