VanirasAI and Machine Learning Stock Forecasting
Independent Developer
I independently designed and developed Vaniras, an AI and machine learning project for stock forecasting and financial research. I owned the work from architecture and implementation through deployment and product delivery, connecting the forecasting workflows with a complete web application.
Read full description: Vaniras | AI and Machine Learning Stock Forecasting
The project brings together data processing, machine learning pipelines, model evaluation and forecast APIs. My work covered both the forecasting-related functionality and the application layers needed to make its outputs available through backend services and a user-facing product.
I worked with Python and XGBoost for machine learning, Node.js for backend development, and Next.js with TypeScript for the web application. The engineering scope connected data workflows, model outputs, APIs and frontend implementation rather than treating the model and the interface as unrelated deliverables.
Vaniras demonstrates independent product ownership across applied machine learning and full stack development, including architecture, integration, evaluation and deployment for a financial research product.


