Large Language Models (LLMs), Machine Learning, Artificial Intelligence, Pyspark, Deep Learning, Git, Bitbucket, Predictive Analytics, Generative AI, Advanced Python, Model Deployment and Monitoring, Data Pipeline Development, GitHub Copilot, Automated Unit Testing, Python Packaging and Deployment, Statistical Modeling, CI CD and DevOps Practices, Data Processing and Transformation, Causal AI, Data Preparation for ML Workloads, Scalable and Performant Application Design, Knowledge Graphs

Pyspark, SAS, Tensorflow, Pytorch, Decision Trees, Arima, Spss, Keras, Python, KubeFlow, support vector machines, exponential smoothing, Great Expectations, Z-Test, R, T-Test, MXNet, Evidently AI, CNTK, ARIMAX, Sci-Kit Learn, BentoML

Java, React, Javascript, J2EE, Automation Scripting, Python, AI/ML components, DevOps practices, Generative AI tools, CI/CD

metaheuristics , Pyspark, Sql, Deep Learning, Python, Column Generation, LP, MILP, heuristics, AI Coding Agents, CPLEX, Decomposition, Pyomo, OR-Tools, Pulp, constraint programming, Network Flows, HiGHS, CP-SAT, Operations Research, Simulation, Gurobi

data engineering , Data Warehousing, Kafka, Docker, Python, AWS, Apache Spark, Sql, Gcp, Rest Apis, Azure, Kubernetes, RAG frameworks, Qdrant, vector databases, MLflow, Pinecone, Kubeflow, Cloud MLOps, ETL pipelines, LangChain, Generative AI, LLMs, Clean code practices, prompt engineering, LLM fine-tuning, microservices architecture, Milvus, LlamaIndex

Sql, Databricks, Python, vector search, AI Foundry, tool calling, deployment on Azure, Azure OpenAI, CI CD, Agents, RAG, Microsoft Fabric

Intelligent Document Processing (IDP), Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Tensorflow, Nlp, Pytorch, Azure, Ocr, AWS, LangChain, Generative AI, vector databases, AI models, Scikit-Learn, OpenAI Gemini, Object-Oriented programming in Python, LlamaIndex

Machine Learning, Sql, Hive, MLops, Presto, Spark, Python, LangChain, Generative AI, Flink SQL, TFX, MLflow, LangSmith, LangGraph, SageMaker, Kubeflow, Flink SDK