Used Go and JavaScript to build features for GDG, a CLI which interacts with the Grafana API. Developed backup and restore functionalities for dashboards, data sources, and other entities, enabling users to store and recover Grafana configurations.

Developed the Ethereum Virtual Machine and interoperability components for Evmos, a blockchain built using Go, Python, and the Cosmos SDK. Drove research, design, testing, and deployment of several protocol-level features, including automated coin conversion over Inter-Blockchain Communication.

Tutored groups of up to ten college students in Multivariable Calculus, Linear Algebra, Probability Theory, and Algorithms. Customized lessons, promoted collaborations, and maintained progress records, resulting in improved performance.

Generated data for a project which used machine learning algorithms to fit neuronal models to electrophysiological data. Created models in the NEURON language, optimized a Python codebase for neuronal simulations, managed high-performance dependencies using NERSC's Cori supercomputer, and created visualizations of result data.

Helped run office hours and lab sections for the Python, Java, and C-based undergraduate courses (CS 61A, CS 61B, and CS 61C, respectively) in Berkeley's EECS Department.