Ai, GEN AI, Llm, RAG

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

BigQuery, Google Cloud Platform, Jira, Sql, Tensorflow, Nosql, Git, Confluence, Pytorch, Python, scikit-learn, Vertex AI, G Suite

Node.js, Python, vector databases, RAG pipelines, context orchestration, embedding pipelines, LLM APIs, CI CD pipelines, observability for AI systems

DAST, PostgreSQL, React, Azure Functions, Terraform, Docker, Microsoft Azure, Python, AWS, Aws Lambda, Jwt, Node.js, Django, Gcp, FastAPI, Kubernetes, LangGraph, OAuth 2.0, Next.js, SAST, ABAC, RAG pipelines, Bicep, CrewAI, LangChain, LLMs, rbac, AI agents, LlamaIndex

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