graph databases , Keras, Tensorflow, MLops, AWS, Pytorch, Python, Azure, Neo4j, Nlp, knowledge graphs, LLMs, DGL, Scikit-learn, LLMOps, vector databases, embeddings, RAG, semantic search, prompt engineering

Pyspark, Tensorflow, Nosql, Numpy, Pytorch, Python, AWS, Scrapy, Sql, Pandas, Gcp, Spark, Azure, OR-Tools, Constrained Programming, Optimization, R, Operations Research, BERT, Gurobi, CPLEX, Scikit-learn, Pyomo, Scapy, Mathematical optimization

Data Science, Algorithms, Machine Learning, Generative AI, heuristics, Ai

Tensorflow, Predictive Modeling, Machine Learning, MLops, Pytorch, XGBoost, Python, Sql, Deep Learning, Time-Series Forecasting, Scikit-Learn

Python

DataBricks, Sql, Unix, Git, Github, Pyspark, Hadoop, Numpy, Python Programming, Pandas, Docker, AzureML, Scikit-Learn

Numpy, Pandas, Scalability, LangChain, Grog, Deployment, AI Agents Tool Calling, Azure OpenAI Service, Secure API design, Azure AI Foundry, Agentic AI Systems, Asynchronous processing, Cloud Application Integration Deployment, Amazon Bedrock, Advanced GenAI Agentic Framework Concepts, semantic search, AI Search Index, Vector Databases, Observability, Operational resilience, AI agent orchestration frameworks

Kafka, Tensorflow, Pytorch, Neo4j, Data Visualization, Python, Hadoop, Azure ML, Pandas, Spark, JanusGraph, Google AI Platform, real-time analytics, Flink, MLops frameworks, Statistical Modeling, streaming data frameworks, Scikit-learn, graph-based databases, AWS SageMaker, AI ML algorithms, AutoML