data engineering , Machine Learning, MLops, Natural Language Processing, Algorithm Design, Deep Learning, Cloud Platforms, AI Ethics, Python Programming Language, Generative AI LLMs

Java, Ibm Cloud, Linux System Administration, Spring Boot, Tensorflow, Jenkins, Gcp, Pytorch, Terraform, Docker, Ansible, Openshift, Shell scripting, Azure, Python, Kubernetes, AWS, Generative AI, LLM inferencing, Go, vLLM, GitHub Actions, Podman

snowflake , Java, Kafka, Spring Boot, FastAPI, Python, Sql, multi-agent frameworks, AWS Bedrock, RAG architecture, LLMs

Gcp, Azure, Python, AWS, LangChain, CrewAI, Generative AI, HuggingFace, prompt engineering, Semantic Kernel, OpenAI API, AutoGen, Agentic AI, memory systems, Transformers, LLM architectures

Retrieval-Augmented Generation (RAG) systems, Large Language Model (LLM) governance, Agent Development Kits (ADKs), Google Cloud Platform, Python, Cloud-based data solutions, Data lakes, Agentic AI architectures, Enterprise data warehouses, Enterprise cloud architecture, LLM-powered solutions, Enterprise guardrails, Gemini Enterprise, Microservices applications, intelligent agents, Data pipelines, AI security, Generative AI applications

PostgreSQL, Git, Docker, Rest Apis, Python, GenAI, LLMs, Microsoft Foundry, Azure OpenAI, Semantic Kernel, LangGraph, AI agents, Azure AI, Microsoft Agent Framework

FastAPI, Rest Apis, Python, LangChain, LangGraph, Generative AI, vector databases, AI governance, Prompt Engineering, semantic search