Ml, Python, AST parsers, Ai, vector databases, hybrid retrieval, major cloud provider platforms, NetworkX, cloud-managed AI services, self hosted model serving, LoRA, property graphs, Tree sitter, fine tuning adapter approaches, graph based representations

Python, embeddings, agent design, evaluations for LLM features, RAG, re-ranking, chunking strategies, vector databases, retrieval quality, tool-using systems

Ml, Rust, Python, cloud-managed AI services, security and compliance requirements, major cloud provider platforms, hybrid retrieval, Go, Ai, vector databases, property graphs, structured model evaluation, AST parsers

Rest Apis, Kubernetes, Docker, Google Agent Development Kit ADK, Google Cloud Platform GCP Vertex AI, Google Model Armor, Apigee API Gateway, Prompt Engineering, CI CD Cloud Build, LLM Fine-Tuning RAG, Vector Databases, Python Advanced, Multi-Agent Orchestration, Google SDP DLP API

Unix, Power Automate, PowerShell, Power Platform, Terraform, Linux, Security Compliance, Rest Apis, Azure Machine Learning, Python, Azure DevOps, Entra ID, Infrastructure as Code, Azure OpenAI Service, Hybrid Active Directory, Microsoft 365 Copilot, Microsoft 365 Administration, Azure AI Services, GitHub Actions, Azure Cloud Operations, Bicep, conditional access, Microsoft Graph APIs

react.js , Apis, Redux, PostgreSQL, Node.js, Sql, Typescript, MySQL, Python, AWS, Styled Components, MUI, Go, Nest.js, TypeORM, AI coding tools, MCP RAG, Serverless, Prisma, Hooks, Emotion, Zustand, React Query

Ml, Jax, Pytorch, Python, DPO, large language models, distributed training, synthetic data generation, RLAIF, Ai, SFT, RLHF, reward modeling, preference data curation, ppo

Java, Tensorflow, MLops, Pytorch, Kubernetes, Python, Docker, Nlp, LangChain, GPT, BERT, GANs, Gemini, fine-tuning techniques, Llama, knowledge graph technologies, Haystack, vector databases, R, Graph RAG, RAG, prompt engineering, LLM architectures

Github, Python, Aws