Large Language Models (LLMs), Java, Sql, Restful Apis, Data Modelling, Python, Kubernetes, NoSQL databases, Go, Agentic AI, Public cloud platforms, Containerization and orchestration tools

React, MySQL, Postgres, Dynamodb, FastAPI, MongoDB, NextJS, Python, Sql, AWS, API design best practices

Sparql, Rdf, Microsoft Azure, Python, ELT, Etl, agentic AI frameworks, GenAI, star schemas, owl, Microsoft Fabric

Tensorflow, Numpy, Git, Pandas, Pytorch, Python, Time-Series Machine Learning, MNE, Signal Processing, Scikit-learn

Api Management, Uipath, Aws Services, Power Automate, Functions, Rpa Tools, Lambda, Docker, Api Gateway, AWS Bedrock, AKS, Azure OpenAI, AI automation architectures, Azure services, Microsoft Power Platform, CI CD pipelines, container orchestration

Java, Git, Machine Learning, Gcp, MLops, Docker, Pyspark, Azure, Python, Sql, AWS

threat modeling , Data Protection, Javascript, Application Security, Iam, Grc, Python, AI ML LLM-based systems, ZTNA, SSE, SASE, Go, AI security controls, Zero Trust principles, security-by-design assessments, DLP strategies, security architecture reviews, Governance, Security Operations

Nlp, MLops, Azure, Python, experiment tracking, API deployment, NLU, vector databases, container orchestration, GDPR compliance, model serving

Azure Cloud Services, Python, LangChain, CrewAI, AutoGen, GitHub Copilot, Qdrant, Azure AI Search, Pinecone, LlamaIndex, Azure AI Foundry

data engineering , Cloud Platforms (Azure, GCP), Large Language Models (LLMs), Machine Learning, Microservices, Software Development, Docker, Python, Sql, Deep Learning, Api Development, AWS, MLops, Data Analytics, Kubernetes, AI Governance, Vector Databases, AI Operations, Responsible AI Practices, semantic search, Generative AI, AI Agent Frameworks, Model Evaluation and Optimization, NoSQL Databases, CI/CD, Prompt Engineering