Supervised by Prof. Guillaume Lajoie.

Maintaining the Homebrew package manager for macOS and Linux.

Mentored students during their orientation phase, taught them basic concepts of Python and Machine Learning, designed assignments and held regular office hours. Also reviewed projects and mentored junior research teams.

Administered and managed the compute server used by multiple teams. Responsibilities included dependency management, automation, building Slack bots and managing the NAS. Designed TARS, a workplace administration bot, and Hyouka, an automatic assignment evaluation engine.

Worked on efficient stress detection and adversarial robustness as part of the Machine Learning Research Group.

Worked with the Arduino Uno and other components, completed a project on Flight Delay Prediction using Machine Learning.

Worked with Dr. Raj Reddy and Dr. Naveena Yanamala on Machine Learning for Healthcare using physiological data from wearables. Developed efficient mobile-deployed models to process this data and deliver predictions on the edge. Also worked on a mini-project to detect sarcasm from comments, with a focus on explainability.

Worked with Homebrew to add a domain-specific language (DSL) for livecheck, which automatically fetches the latest versions of a software from its website or repository. Also worked on migrating livecheck to the main Homebrew codebase.

Worked on Brain Tumour Segmentation and Survival Prediction under the supervision of Dr. Umarani Jayaraman.