Lead theorist and developer for project aiming to implement a quantum attention mechanism for a transformer model.Leading a team of 8 engineers, building a classical and quantum transformer from scratch, teaching both fundamental transformer architecture and quantum components, including attention, positional encoding, time complexity analysis, state encoding, entanglement strategies, and error correction

Creating and teaching internal and external machine learning lectures on topics including GANs, CNNs/ResNets, Autoencoders, RNNs, transformers, CLIP, MLPs, NeRFs, (deep) RL, evolutionary algorithms, diffusion, MCTS, alignment, and interpretability.Created and administered technical interview for applicants on Haar cascades for object detection.

Developed a CV model to classify correctness of squat form and various errors if observed.

Sole theorist and developer for project aiming to implement passive protolinguistic abilities from a purely Hebbian neural network.Developed novel associational training paradigm without backpropogation for classification, achieving high MNIST and CIFAR-10 accuracy.(Lab of Anna Ivanova)

Senior author role for and mentor to 15 student teams on machine learning research projects for conference submissions.Featured projects in progress or under review include: RL and evolutionary algorithms for traffic flow optimization, real or simulated conversation between two/one LLM(s) for reasoning, K-Fold Cross Validation for symbolic regression, and comparing human and machine melanoma classification patterns.

First-authorship study on linguistic relativity in humans and distributional semantic space; conducted MRI scans and analyses.Developed semantic search-powered chatbot for university information; launched, marketed, and integrated Calsearch at UC Berkeley.(Lab of Evelina Fedorenko)

Created, taught, and managed Linguistics 198 course on linguistic relativity to more than 50 students.