Backend engineering team

TPI Ventures is an exclusive investor platform tailored for professional athletes, ultra-high-net-worth individuals, and executives. As a collective, we have invested in over 50 private, growth-stage companies, including notable ventures such as Cameo, DraftKings, Robinhood, and Stripe.-Owned the end to end development and deployment of the company investment portal and main inference model leading to a $1.2 million boost in investment amount. Accomplished with Django, MySQL, AWS S3, Redis, Python data analysis, and scikit-learn.-- Built a client endpoint for large object file submissions, automating the parsing, web scraping and logging of private company information, substantially reducing manual effort and logging times.--Fed processed data into scikit-learn random forest models which predicted investment outcomes with a 92% accuracy. Handled model training, fine tuning and deployment.--Implemented Redis for background task management, enabling efficient handling of file parsing and model execution, reducing user wait times by 5 seconds per interaction.-Managed the migration of sensitive investor data to MySQL 8.1, redesigning and normalizing the data model to eliminate redundancy and inconsistency, while automating queries to improve access times.-Developed and deployed an internal automation tool using Django and OAuth 2.0 on Google Cloud Platform to categorize, auto-reply, and display incoming emails from potential investors and prospective portfolio companies, resulting in a 40% reduction in company-wide email processing time.