Uncovr Ai: Financial Portfolio Analysis
Co-founder and Developer
Designed and implemented the MVP of a web app that allows people to simulate and compare multiple financial portfolios intuitively without requiring financial knowledge.
I implemented and deployed the backend, which is a monolith using Django, Postgres, Redis, Celery, Terraform, Kubernetes, and third-party services like Stripe. This resulted in fast development and robust behavior.
I designed the user experience and implemented the front end using React. According to users' feedback, the UI was clean, modern, and intuitive.
I implemented the econometrics mathematical models using numpy, pandas, and scikit-learn, which allowed me to generate financial performance and risk simulations. The solution had to be low latency, so I implemented it using optimized matrix multiplication and caching.
I implemented scheduled web scrappers and data cleaning scripts to retrieve the latest financial market data periodically.
Architecture overview
