Hi, I'm Jessica
I graduated from Columbia University studying computer science and currently develop AI applications with Investment Banking Engineering at Goldman Sachs. ​


Jessica Peng
Software Engineer at Goldman Sachs
Education
Columbia University
​
Github
EXPERIENCE
2022-2025
Goldman Sachs
Software Engineer (Associate),
Software Engineer (Analyst)
2021
Goldman Sachs
Engineering Analyst
2020
Apple
Software Engineering Intern
2021
Software Developer
2019-2021
Columbia University
Head Teaching Assistant
2019
Columbia Computer Vision Multimedia Lab
Research Intern
2018
University of Berkeley California
Research Intern
2017
Harvard Medical School and Brigham and Women's Hospital
Research Intern
EDUCATION
2018-2022
Bachelor's Degree
COLUMBIA UNIVERSITY
New York, NY
Bachelor's Degree in Computer Science
GPA: 3.9, Dean's List
Relevant Coursework: Python, Java, Data Structures, User Interface Design, Artificial Intelligence, JavaScript, C, C++, Databases, Linux, Programming Language and Translators, Natural Language Processing
2014-2018
High School Diploma
LYNBROOK HIGH SCHOOL
San Jose, CA
Valedictorian
GPA: 4.0/4.0 Unweighted, Weighted: 4.43/4.0
ACT: 35
SAT 2: Math & Physics 800
SKILLS

Python
React
CSS
C/C++
iOS
Computer Vision
SolidWorks
Maya Autodesk
Premiere Pro
Research
Java
HTML
Javascript
MySQL
Flask
Git
MATLAB
Figma
Photoshop
Excel
PROJECTS

ENGINEERING 3D PHANTOM
Engineered a patient-specific 3D phantom to validate robotic-guided needle-insertion prostate cancer biopsy through MRI in ex vivo study through AI segmentation and determining tissue-mimicking-materials (TMMs) with polyvinyl chloride solutions

INERTIAL KNEE BRACE
Integrated Mbientlab inertial sensors into knee brace to collect data on user movement in gameplay to prevent ACL tear in athletes

POLITICAL VISUAL LITERACY
Implemented Tensorflow machine learning pipelines utilizing Faster RCNN models and Google's Object Detection model to correctly identify the region and type of extremist group symbols

CELL VIRUS SIMULATION
Cell virus simulation: a simulation of a controlled epidemic in NYC with calculated probabilities for infected, resistant, recovery, and transmission





