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

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

messaging security , System Architecture, Java, Sentiment Analysis, Webservices, J2EE, JIRA, Microservices, Devops, Docker, Ansible, Agile, Elastic Search, Kubernetes, Python, Google Cloud Platform, Natural Language Processing, Azure, AWS, language modelling, API design patterns, text analysis, AI ML Architect, RAG Retrieval-Augmented Generation models, enterprise-level AI ML solutions, NLP techniques, multi-cloud architectures