anylogic , snowflake , Tensorflow, Numpy, Pytorch, Docker, Microsoft Azure, Simio, Python, Power Bi, Sql, Pandas, Azure Data Factory, Azure Machine Learning, scikit-learn, MLflow, OR-Tools, Pulp, Gurobi, Detectron2, SimPy, Generative AI, LLMs, CPLEX, Mask R-CNN, YOLO, Azure AI Computer Vision

C, shell scripting, Python, AI model inference, accuracy-performance tradeoffs, debugging performance issues, AI deployment stacks, quantization

S3, Pyspark, Sdlc, Lambda, Python, AWS, data pipeline development, CI CD, Sagemaker, AI ML concepts, ML pipeline deployment, Glue, Statistical Modeling, model monitoring

Big Data Technologies, Python, containerization technologies, cloud platforms, ML libraries, GenAI tooling, monitoring and logging tools, R, MLOps practices and tools, machine learning algorithms and techniques, data processing tools, model monitoring, LLM inference lifecycle

Pyspark, Debugging, Databricks, Python, Sql, Azure DevOps, Data Analysis

Pytorch, Python, SageMaker Studio, model evaluation, deep learning frameworks, transformers for NLP tasks, Experimental Design

MLops, Databricks, Python, Pandas, XGBoost, Spark, LIME, LightGBM, MLflow, scikit-learn, SHAP

Power Bi, Tableau, Microsoft Azure, Rest Apis, AWS, Version control Git, JSON service integration patterns, CI CD fundamentals, Applied understanding of ML lifecycle concepts, Object-oriented design, Python backend services, ELT concepts, Agent orchestration frameworks, SQL advanced querying, Data pipelines

Machine Learning, Python, Sql, Modelling, Ml model, Interpersonal Skills