Hi, I'm Jessica
I graduated from Columbia University and currently work at Marcus within Goldman Sachs. I studied computer science and am interested in implementing technology through speech accessibility and computer vision and enhancing user experiences through design interfaces


Jessica Peng
Software Engineer
Education
Columbia University
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Github
Blog
EXPERIENCE
2021
Engineering Analyst Intern
Goldman Sachs
Built API suites to detect abnormalities and provide analysis and visualizations on Interest Rate Top Sheet Aggregation jobs to calculate risk of positions and assets after shocks to interest rates, automated the existing process of monitoring the health of production pipelines, and created a frontend interactive dashboard for users to input specific parameters for statistical analysis and anomaly data
2020
Apple
Software Engineering Intern
Designed and programmed a full stack web application by implementing frontend in HTML, CSS, and Javascript, backend with Python and Flask framework, Chiron and Scapy API framework for IPv6 checks, and databasing in MySQL to test IPv6 network resiliency and IPv6 host implementations to improve Apple's overall network in Enterprise, Datacenters, Retail, and PCI-BZ transactions
2019-2021
Head Instructional Assistant
Columbia University
Teaching and assisting 200+ students in ENGI 1006 - Python Introduction to Computing for Engineers and Applied Scientists. Host office hours and recitations, grade programming sets, projects, proctor exams, and write practice quizzes and recitations
2019
Computer Vision Research
Computer Vision Multimedia Lab at Columbia
Implemented machine learning models with TensorFlow Object Detection API to correctly identify extremist group symbols in protest data to provide a real-time informative tool for photo-journalists to analyze right and left winged groups in protests and rallies
EDUCATION
2018-2022
Bachelor's Degree
COLUMBIA UNIVERSITY
New York, NY
Bachelor's Degree in Computer Science
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