Aws Lambda, Rest Apis, Python, LLM applications, Amazon Bedrock, AWS SageMaker, Vector Databases, LLM optimization techniques, LangChain, Embedding Models, MLOps practices, Agentic AI, microservices architecture, prompt engineering, Generative AI, model deployment strategies, AI Agents RAG pipelines, LangGraph

software engineering practices , Bash Scripting, Version Control Tools, automation, Git, Computer Vision, Python Programming, Deep Learning, semantic segmentation, YOLO, object detection models

automation, Enterprise Application Integration, Python, Apis, Power Platform, Generative AI, LLMs, Copilot Studio, AI agents, Microsoft AI, Azure AI, RAG, prompt engineering

triton , Docker, Rest Apis, Kubernetes, Python, Tensorflow, Pytorch, Gcp, FastAPI, Azure, AWS, data pipelines, Hugging Face, vLLM, prompt engineering, multi-agent workflows, Agentic AI, FAISS, retrieval, ChromaDB, RAG pipelines, embedding generation, model serving

Python, Generative AI, API integrations, vector databases, Claude, GPT

PostgreSQL, Docker, Python, Azure DevOps, Git, Rest Apis, Anthropic Claude, Vector search, Azure OpenAI, LangGraph, GitHub Actions, AI-assisted development tools, Agentic workflows, Evaluation, Generative AI, Asynchronous processing, LLMs, Microsoft Foundry, Azure AI stack, Claude Code, Guardrails, Semantic Kernel, GitHub Copilot, Intelligent document processing, CI/CD, Microsoft Agent Framework, AI observability, OpenAI, Prompt design, Structured outputs

Sql, Python, Data Science, LLMs, business analytics, Analytics, Extraction, LLM applications, AI engineering, retrieval, indicator trees, Agents, evals

Data Architecture, Ml, AWS, Python, Azure, Gcp, Apis, LLM integration, Ai, scalable backend systems, model evaluation, performance optimisation, prompt engineering