Ai/Ml Engineer
Current• Implemented a system to log AI data into our data lake for analysis and model training• Led efforts to improve observability and debuggability for LLM applications using LangSmith and Langfuse• Developed a feedback system to gather high-quality user insights• Created a dynamic configuration system for real-time AI feature adjustments• Set up an automated testing framework for ML validation upon configuration changes• Designed a data annotation pipeline with LabelStudio for efficient dataset preparation• Co-leading Retrieval Augmented Generation (RAG) development with a modular design to stay current with AI research