Thesis project: coded a novel optimization algorithm for training CNNs and many-layered artificial neural networks, as an integrated PyTorch optimizer.Continuing thesis work as a project assistant, scaling up training with larger datasets, various model architectures, and benchmarking algorithm against a wider variety of ML optimizers in order to evaluate new algorithm more rigorously.

Aiding first-year Mathematics students with coursework (Real Analysis, Lin Alg, Python programming)Relaying feedback from students to Mathematics teaching facultyCreating stimulating exercises for undergraduate student learningGroup tutoring

• Cleaned and pre-processed datasets used to train a Gen-AI model simulating high-energy particle collision events• Performed data analysis using data visualisation tools in Python (matplotlib) on three particle collision datasetsfrom the ATLAS detector at CERN to suggest actionable improvements• Results of improvements increased model performance on average by 7%

• Scheduling interviews and phone screens working directly with candidates and hiring managers, in some cases arranging travel for visiting candidates• Updating candidate records and job postings in recruiting systems and confirming new hires• Providing follow-up correspondence to candidates on recruiting status via phone and email• Tracking recruiting activities and providing candidate status in a weekly report• Coordinating the post-interview debrief meetings and providing debrief materials• Identifying opportunities for improving candidate experience and scheduling efficiency• Assisting in the coordination of other recruiting activities as needed