Aditya Ajay

Designed an LSTM Autoencoder-based anomaly detection pipeline for 810 robots, reducing motor downtime by 19 minutes monthly. Co-engineered a data platform for 13 million records using Redis, PostgreSQL, and Plotly.

Created data acquisition algorithms for IMU and Brake IR Sensors using SPI/UART on STM32 MCU.

Published a machine learning paper on predicting EV carbon emission reductions with 98% R-squared accuracy.