Masters in Computer Science, Stanford University Class of 2020
Concentrating in Artificial Intelligence

Bachelor of Science in Symbolic Systems, Stanford University Class of 2019
Concentrating in Artificial Intelligence

Working on validations and controls for trading systems.

Helped administer and teach a free online introductory programming class to 13,000 students and led a teaching staff of 1200 volunteers. Supported course infrastructure, designed teaching materials and taught lectures and supplemental learning sessions.

I worked in the Ads Machine Learning Development Efficiency and Automation team, building pipelines for the training of ads ranking models.

I was the head TA for CS 106A: Programming Methodologies, Stanford's largest undergraduate class with typical enrollments of around 500 students. I managed a staff of over 40 undergraduate section leaders, worked closely with the professor to decide on course content and logistics, held guest and exam review lectures, and held my own office hours. For my work as the Head TA and previously as a section leader, I was awarded the 2019 Centennial TA Award and the 2020 Forsythe Teaching Award.

I worked in the Order Management team at AIM, one of Bloomberg's trading systems platforms. I built a distributed cache for consuming order data as well as a queryable interface to said data.

Worked on signal processing for speech recognition, deep learning for language understanding and designing and building a backend system to integrate various TensorFlow models with data collection pipelines.

TA (Teaching Assistant) for Stanford’s introductory Computer Science 2-course sequence. Teach a section of 10-12 students, grade homework and exams, hold office hours and interactive grading sessions for students. Courses are in Java and C++. Have given multiple guest lectures and written new assignments for the class, alongside autograders for these assignments. Also helping to train new TAs.

Worked on the HabitLab Google Chrome Extension, which intelligently offers interventions to increase one’s productivity on the web.

Assisted with two psychophysics experiments in the Brain & Consciousness Lab. Designed, implemented and tested both experiments (using python and the psychopy package), and ran one of the experiments on test subjects, followed by subsequent data analysis. Both experiments are on my github.

Part of a team of summer students & engineers helping to build and test resistive plate chambers (RPCs), a type of particle detector in the Compact Muon Solenoid (CMS) experiment, a part of the Large Hadron Collider (LHC).