# Team **Name**: Oscar\ **Role**: Developer\ **Background**: Oscar, the lead developer of $MDAI, is a distinguished figure in the blockchain community, he embarked on his journey with a degree in computer engineering four years ago. His venture into blockchain was marked by an early engagement with Solidity in 2020, a period when the technology was still in its infancy. This experience provided him a foundational role in the success of numerous projects, managing their smart contracts with expertise. With a background in computer science, Oscar's proficiency in Python emerged as a natural choice, leveraging its flexibility and robustness to develop the innovative ChatBot for $MDAI. Email: \ Username on Telegram: **Name:** Lenson\ **Role:** CEO \ **Background:** Lenson, the CEO of $MDAI, is a seasoned investor with a deep-rooted presence in the cryptocurrency and forex markets since 2017. Over the past four years, he has dedicated himself to the study of economics and commerce with a focus on marketing, gaining a profound understanding of the financial sector's intricacies. His academic pursuits were complemented by his professional experience in leading prestigious firms, where he honed his skills and developed a wide range of innovative concepts and strategies. This rich background in both practical and theoretical aspects of finance and marketing has equipped Lenson with a unique perspective on the digital economy, enabling him to steer $MDAI with visionary leadership and an adept understanding of market dynamics. Email: \ Username on Telegram: --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.mindaiproject.com/general-info/team.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.