Masters in Computer Science, Stanford University
Class of 2020
Concentrating in Artificial Intelligence and Systems/Theory
Member of CartaLab
Bachelor of Science in Symbolic Systems, Stanford University
Class of 2019
Concentrating in Artificial Intelligence
+ Software Engineering Intern at Facebook June 2019 - September 2020
I worked in the Ads Machine Learning Development Efficiency and Automation team, building pipelines for the training of ads ranking models.
+ CS 106A & AP Head TA at Stanford University Department of Computer Science September 2018 - June 2020
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.
+ Software Engineering Intern at Bloomberg L.P. June 2018 - September 2018
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.
+ Natural Language Processing Intern at Cloudminds Technologies June 2017 - September 2017
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.
+ CS106 Section Leader & TA for Stanford University Department of Computer Science Jan 2017 - June 2018
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.
+ Research Assistant at Stanford Human-Computer Interaction Lab Sep 2016 - Dec 2016
Worked on the HabitLab Google Chrome Extension, which intelligently offers interventions to increase one’s productivity on the web.
+ Research Intern at Duke-NUS Center for Cognitive Science June 2016 - Sep 2016
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.
+ High School Intern at European Center for Nuclear Research (CERN) June 2014 - July 2014
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).
- Python Autograders
- Exploring Servers
- Pathways (published)
- Heroes and Villains
- Heap Allocator
|brahm _at_ stanford.edu|
|My office hours for Winter 2020 are on Mondays and Thursdays from 1-3pm, or by appointment, in Gates B02.|