Python, risk assessment methodologies related to AI systems, regulatory requirements and compliance standards in AI, Responsible AI, ethical AI frameworks and guidelines

Java, Data Structures, Kafka, Redis, Deep Learning, Algorithms, Gcp, MLops, Pytorch, Postgres, Python, AWS, Go

APIs - OpenAI, Express.Js, Node.js, HTML, React, Javascript, Application Security, MongoDB, System Design, LLMs, AI Integration, Anthropic, Cloud Platforms AWS, Next.js, Gemini

ROS, data-quality instincts, SLAM, RAG at scale, HITL systems, inference optimization, multi-agent architectures, large-scale pipeline experience, LLM orchestration, LLM agentic systems

Power Automate, Azure Functions, Rest Apis, Azure Storage, Azure Relay, embeddings, vector search, AI orchestration frameworks, Microsoft Teams, LLMs, Log Analytics, Generative AI technologies

REST, Java, Typescript, Kafka, AWS, Python, Kubernetes, Gcp, Javascript, RAG pipelines, Open-source LLMs, Go, Schema validation, GRPC, Structured data handling

Python Scripting, Terraform, MongoDB, Cosmos DB, Secretless Authentication, Entra ID, Langchain, API Variant, Azure PaaS Stack, Managed Identities, semantic kernel, Zero-Trust Topologies, Private Networking, AI LLM Gateway Experience, CI CD, Azure Operations, GitHub Actions, Langgraph, AI frameworks, Enterprise level Observability

Python, Pytorch, Tensorflow, Falcon, Llama, LoRA

Databases, Cloud Services, MLops, Apis, Docker, Terraform, Kubernetes, Generative AI, LLMs, RAG solutions, MLflow

graph databases , Python, vector stores, embeddings, rerankers, production RAG search, ML backend engineering, IR systems