Large Language Models (LLMs), automation testing, Stress Testing, Distributed Systems, Debugging, self-healing regression suites, search and recommendation infrastructure, fine-tuning, test platform and tool development, software testing methodologies, root-cause attribution, query set management tools, prompt engineering, multilingual and cross-market quality work, algorithm evaluation, AI-assisted testing, content safety testing, AI agents, quality assurance best practices, evaluation platforms, automated test case generation, log-driven bug analysis

Sql, Docker, Robot Framework, Python, Kubernetes, embeddings, AI Agents, Playwright, vector databases, Context Engineering, CI CD pipelines, Prompt Engineering

Java, C++, Python, Algorithms, Nlp, Recommender Systems, Machine Learning, data structures, Computer Vision

Algorithms, data structures, Python, planning memory modules, retrieval graph algorithms, prompt engineering, Agent framework development, LLM fundamentals, RAG optimization, SFT for LLMs, fine-tuning workflows, RLHF