Tensorflow, Machine Learning, Nlp, Pytorch, Python, AI Tools

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

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

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

Sql, Git, Docker, API development and integration, Rest Apis, Python, tool function calling, vector databases, prompt engineering, LLM APIs, workflow automation, RAG, AI evaluation, SDKs, agent orchestration, observability

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

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

Sql, Rest Apis, Python, LangChain, vector search, Generative AI, AWS Bedrock, AI Agents, embeddings vector databases, Amazon Bedrock Knowledge Bases, Gen AI, LangGraph, data-processing, LlamaIndex, Prompt Engineering