Hire Theo T. - Generative AI Engineer

* Build features for Marvel AI using technologies such as LangChain, LlamaIndex, and Retrieval-Augmented Generation (RAG) workflows. * Implement structured knowledge graphs to dynamically link educational content to relevant topics for efficient retrieval. * Leverage OpenAI embeddings and Redis for Vector Search to enhance real-time semantic search and recommendations. * Deploy AI services using Google Cloud Run, monitor performance with Log Explorer, and refine outputs through LangSmith for prompt optimization.

* Fine-tune LLM on original, varied math problems and language-based prompts using Python. * Engineer prompts that guide the model to correctly answer complex math questions. * Generate solutions to expand reasoning capabilities of LLM based on analysis of its output.

* Collaborated with small team to develop an app that utilizes user and geographical data to generate fitness opportunities relevant to the individual user. * Employed machine learning model using Python to optimize suggestions for each user. * Presented app demo and business plan to industry leaders at Innovate@UCLA conference. * Awarded Most Commercially Viable Application.