Machine Learning, Nlp, Pytorch, Python, RLAIF, model distillation, LLMs, DPO, Ai, ppo, Optimisation, RL, RLHF

Model Context Protocol (MCP), Agent2Agent (A2A), Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Microsoft Azure, Python, GitHub Copilot, RESTful API design, AI ethics and regulations, AI frameworks

.Net Core, Ml, Java, API design, Sql, Typescript, Terraform, Azure, Python, AWS, GenAI, cloud-native applications, No-SQL, Ai, Claude Code, context engineering, GraphRAG, GitLab CI, GitHub Actions, RAG, CI/CD, LLM orchestration

C, Angular, React, Javascript, Ruby, Big Data, Python, AWS, Java, C++, Vue, Gcp, Azure, AWS Bedrock, fine tuning, Hugging Face, Privacy, Go, vector databases, LangGraph, Evaluation, responsible AI, Security, guardrail techniques, LLM frameworks, LangChain, LLM deployment, embedding models, prompt engineering, SageMaker, RAG techniques, OpenAI

Java, Databases, C#, Rust, C, C++, concurrency, Javascript, Distributed Systems, data structures, Python, query execution, Indexing, platform product areas, distributed algorithms, analytics systems

oracle linux , Distributed Systems, Bash, Python, Linux Administration, Ubuntu, GPU infrastructure, NVIDIA, AMD, AI agents, observability tooling

PostgreSQL, Docker, FastAPI, Python, Kubernetes, LangChain, embedding strategies, pgvector, RAG pipeline architecture, prompt lifecycle management, vector database selection, Azure OpenAI, LLM engineering, LangGraph, retrieval strategies, Langfuse, context management strategies

Python, Rabbitmq, New Relic, Django, Elk, Redis, PostgreSQL, Claude, Vector databases, Foundational LLMs, RAG, LangGraph, Fine-tuning LLMs