data engineering , Apis, Sql, Backend Development, system integration, Python, embeddings, reusable AI frameworks, data pipelines, LLMs, AI governance frameworks, workflow orchestration, event-driven architectures, vector databases, prompt engineering, automation platforms, enterprise AI platforms, RAG, AI evaluation, semantic search, observability, intelligent agents

Tensorflow, Pytorch, Api Development, Python, ETL and Data Pipelines, Model Deployment, Scikit-learn, Prompt Engineering

data engineering , data warehouses , snowflake , Spark, Databricks, Sql, Pyspark, Etl, Cloud Technologies, Orchestration, Gcp, quality assurance, AWS, Python, Azure, risk management, automation use cases, model integration, GenAI solutions, stakeholder reporting, delivery governance, ELT pipelines, Lakehouse architectures, estimation planning, AI ML concepts, Data Lakes, data platforms, large-scale data processing, AI engineering

Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Automated Testing, Microservices, Angular, Django, React, Typescript, DevSecOps, Docker, Rest Apis, Kubernetes, AWS, embeddings, event-driven architectures, vector databases, CI/CD pipelines, Python FastAPI, Java Spring Boot, observability

Tensorflow, Pytorch, Docker, Oracle, Python, AWS, Sql, Cuda, Git, Gcp, Neo4j, Keras, Azure, AWS Bedrock, NVIDIA, Google Gemini, Transformer architecture, Mistral, Vertex AI, Diffusion models, Agentic workflows, GANs, Graph DBs, LLaMA 3.0, OpenAI GPT-3.5, Copilot

Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), API design, Python, Microservices, AWS, LLM optimization techniques, agent development frameworks, fine-tuning, Distillation, quantization

.NET, Azure Machine Learning, Sql, Tensorflow, Github, PowerShell, React, Angular, Pytorch, Node.js, Python, Kubernetes, Computer Vision, Javascript, Cognitive Services, GPT models, Azure CLI, Azure deployment services