Api Development, Tensorflow, Pytorch, Gcp, Azure, Python, AWS, LangChain, Airflow, Prompt engineering, LLMs, Scikit-learn, Hugging Face, Data pipeline construction, MLflow, ETL processes, Kubeflow, LlamaIndex

Reinforcement Learning from Human Feedback (RLHF, Cloud platforms (AWS, Vector databases (Pinecone, Azure, Python, Sql, Databases, Tensorflow, Deep Learning, Machine Learning, Pytorch, Gcp, Nlp, FAISS, Data pipeline design, Model fine-tuning, MLOps tools, Weaviate, Prompt engineering

Python, Recommendation engines, Neural network architectures, Prompt engineering, LLM APIs, RAG vector databases, API integrations, Structured outputs

test automation, Jenkins, Typescript, Python, Test Architecture, Playwright, API contracts, prompt engineering, agentic workflows, GitHub Actions, service boundaries, LLM applications, AI coding tools, CI/CD, RAG or context retrieval agents, backend code

Java, Dynamodb, MySQL, Gcp, PostgreSQL, Nodejs, AWS, FastAPI, Kubernetes, Python, Azure, Docker, MongoDB, Gemini ADK, LLMs, Weaviate, RAG, pgvector, Pinecone, LangGraph, A2A Protocols, Pydantic AI, OpenAI Agents SDK, FAISS, Chroma, Generative AI

Api Development, Apache Airflow, Git, Spark, Containers, Python, data pipelines, vector databases, LLM APIs, agentic AI patterns, SQL databases, AI evaluation harnesses, response handling, deployment automation, CI/CD, retrieval-augmented generation, software engineering fundamentals, prompt orchestration, semantic search

Python, Spring Boot, Shell scripting, Openshift, Java, Linux System Administration, Tensorflow, Ansible, AWS, Pytorch, Ibm Cloud, Kubernetes, Azure, Terraform, Gcp, Docker, Jenkins, Podman, vLLM, GitHub Actions, Go, LLM inferencing, Generative AI