Data Science, User Research, Prototyping, LLM applications, RAG systems, experimentation, product management, Ai, responsible AI practices, Writing Specifications, success metrics

Rapid Prototyping, AI tools, research synthesis, metrics dashboards, low-code tools, data exploration, data literacy, spec drafting

AI tools, Rapid Prototyping, research synthesis, metrics dashboards, low-code tools, data exploration, spec drafting, data literacy

Cnn, Tensorflow, Nlp, Pytorch, Docker, Python, AWS, Sdlc, Git, Gcp, Linux, Opencv, Azure, Kubernetes, Multimodal ML, HuggingFace, vector databases, Pinecone, CI CD, ViT-based approaches, Audio processing libraries, torchaudio, AI ML engineering, LLMs, FAISS, Transformers, RAG, librosa

Kubernetes, Python, Docker, LangChain, RAG systems, LLM API integrations, AI observability tools, prompt engineering, cloud platforms, LangGraph

.NET, ARM Templates, Json, Typescript, Azure Functions, Javascript, Terraform, Microsoft Azure, Sql Database, Cosmos DB, Python, Oauth, PowerShell, Git, Rest Apis, Azure API Management, OpenAI APIs, Bicep, Azure Automation, Azure AI Search, LangChain, Logic Apps, Azure OpenAI Service, Azure App Services, Semantic Kernel, AutoGen, webhooks, Service Bus, RAG, Event Grid

Microservices, FastAPI, Python, LangChain, distributed AI systems, vector databases, semantic retrieval, Azure OpenAI, AI system observability, Azure AI Foundry, LangGraph, RAG pipelines, Azure AI Search

Scripting, Python, Tco, LLMs, MoE, power performance, vector databases, multimodal AI, end-to-end system KPIs, advanced AI workloads

MongoDB or equivalent NoSQL, Embedding models and semantic similarity, RAG pipeline design and vector search, LLM API experience, Agentic pipeline design, Async Python, Git code reviews CI CD basics, Classification systems with large label spaces, Evaluation framework design for LLM systems, Document AI PDF parsing, Production-grade Python