LLM engineer for finance chatbot- Structured options data extraction from LLM output- Coordination with Tradier API to execute trades- Pallaralization of agents using LangGraphPreviously as an AI apprentice, I worked on a chatbot product to aid learners. Manipulation LLM outputs, pushing code into production, and working across cross-functional teams are just snippet of the many things I've learnt.Previously as an educator, I've used data to inform my teaching materials and strategies on top of my building strong relationships with students to understand their needs and learning preferences. As a form teacher, I leveraged data from student welfare surveys to identify students who have more immediate needs and potential student leaders.In terms of manipulating data, I've used Excel pivot tables to generate student welfare reports for the entire school which includes aggregating data, visualisation, and highlighting important information for teachers. Addtionally, I dabbled in VBA for Excel to automate exam seating charts by leveraging subject information data from the school cockpit. This project scaled to generating exam seating charts for various days and subject combinations for an entire level.My other passion is the professional development of people around me. In school, I was the tech guru answering questions about Microsoft Teams, Geogebra, Excel, Blended Learning, LMS, and ocassionally getting the network printer to work. I am curious about how professional development is done outside of school.