Teaching Assistant for the Masters course ’Advanced Techniques of Machine Translation’.

Ongoing Research Paper: Actively contributing to a research project focused on interpretability of the Machine Translation metrics and the development of baseline error span-predicting MT metrics, with the aim of submitting to ACL in February 2024.

Implemented a baseline LSTM conditional-WGAN model for generating Human Motion Capture data sequences belonging to specific classes.

Developed a tool that automates time-series metrics checking by predicting a normality interval for the time series data. Used an LSTM model implemented in Keras and followed an Online Machine Learning approach, where the model continues training under human supervision during inference.

Developed a spy cam using Raspberry Pi and a simple webcam to record a video and take photographs when there is motion detected on the frames using Python’s OpenCV library.

Gave technical support in processing sequencing data of DNA using Linux bioinformatics tools.