Nlp, Docker, Python, Api Development, Sql, Deep Learning, REST, FastAPI, Kubernetes, Agentic AI architectures, RAG systems, Transformer architecture, Microservices architecture, Azure AI Foundry, Tool Calling mechanisms, LangChain, Graph DBs, Generative AI, LLMOps practices, MCP Model Context Protocol, CI CD pipelines, LLM implementation, Multi-agent systems, LlamaIndex, hyperscaler offerings

Vue, Typescript, Javascript, Python, prompt engineering, full stack software development, AI-enabled application development, IIS server management, traditional machine learning techniques

LLMs (GPT, Big data technologies (Spark, Claude or similar), NoSQL databases), Sql, Hadoop, Angular, Tensorflow, React, Pytorch, Python, Vue.JS, MLops, Prompt engineering, Gemini, Inference efficiency, Lang Chain, Lang Graph, GEN AI solutions using RAG architecture, API development and integrations, Agentic AI Frameworks and Workflow, Vector Databases, Model optimization, AI frameworks, Open AI Swarm, LLM fine tuning techniques, Crew AI, Graph Database

Machine Learning, Power Bi, Pyspark, Sql, Spark, Databricks, Python, Deep Learning, Gdpr, Iso 27001, Jobs and Workflows, GenAI, DBSQL, Unity Catalog, medallion architecture, Delta Lake, pipeda, GitHub Actions, rbac, Statistics, RAG, LLM-powered assistants, ABAC, SOC 2

Python, Machine Learning, Deep Learning, Natural Language Processing, Tensorflow