Martin Ivanov

Designed and implemented a machine learning pipeline that automates data training, evaluation, and benchmarking across multiple classification and regression models, then exports selected models to ONNX for frontend deployment. Integrated the pipeline with a web application connected to an ESP32, enabling sensor data transmission to a mobile app for smell classification and live graphical monitoring.