Drexel University

Bachelor of Science (BS) in Computer Engineering

Anticipated Graduation: Jun 2021

Philadelphia, PA

Cumulative GPA: 3.51

Comcast

Security Software Engineer (Co-op / Contractor)

Apr 2019 - Present

Philadelphia, PA

• Scaled assets management system by developing Python pipeline, REST API, and search application for 6+ million records; improved data retrieval time from 10 to 2 minutes per search.
• Designed and implemented multithreaded, object-oriented Python network perimeter daily scanner application; escalated threats, risks, and vulnerable hosts for remediation.
• Refactored lookup application to improve performance and implement unit test cases.
• Developed and deployed machine learning solution to expose customer CAPTCHA system vulnerabilities resulting in executive decision to replace enterprise-wide verification system.
• Developed an Intrusion Detection System to detect anomalous network behaviors; achieved an accuracy of 91.80% with a support vector machine and 95.85% with a neural network implemented with Sci-Kit, TensorFlow, and Keras.

Drexel University

Software Research Assistant (Co-op)

Jul 2020 - Dec 2020

Philadelphia, PA

• Develop full-stack Python Flask website to allow users to submit trained model of convolution neural network and convert the model into a spiking neural network based on machine learning environment.
• Generate HTML reports using Python/JavaScript of model classification accuracy and graphical results of layers.
• Program Python scripts to translate public datasets to power spiking neural network machine learning models.

JobDiva

Project Manager (Co-op)

Jun 2018 - Sep 2018

New York, NY

• Led QA, design, and developers to launch and iterate white label websites and mobile applications for 100+ clients.
• Supervised defect management for 4 teams, increased user engagement 10% and reduced support email volume 50%.
• Spearheaded 4 high priority projects; managed 300+ bugs and expedited original launch from 2 months to 1 month.

Employer Evaluation Report

JobDiva

Quality Assurance Analyst (Co-op)

Apr 2018 - Jun 2018

New York, NY

• Developed and executed manual and automated test cases for web-based software applications.
• Planned and executed test strategies using business cases and design specifications; 50% reliability increase.
• Partnered with product managers, developers, internal/external clients, and senior management to manage issues throughout the software development life cycle.

Vectrix

Dec 2020 - Present

• Implemented Python scanners for Vectrix, a start-up that offers a simple, scalable way to scan, monitor, and detect security posture problems in user’s cloud services and SaaS apps.
• Developed a program to scan and monitor client’s GitHub Organization for insecure settings and access issues.
• Analyzed client’s Google Cloud Virtual Private instances for misconfigured firewall rules, permissions, and ports.
• Monitored client’s Google Kubernetes Engine clusters for misconfigured policies and settings.

Sleep Stage Classification

Sep 2019 - Dec 2019

• Conducted machine learning research project in Python to classify sleep stage based on electroencephalogram data.
• Utilized Python libraries for digital signal processing on dataset of 340 million measurements to smooth data for filtering, extract information for feature vectors, and apply dimensionality reduction algorithms.
• Achieved multiclass sleep stage classification accuracy of 77.21% with convolutional neural network and 68.24% with K-nearest neighbor algorithms implemented in Python with TensorFlow, Keras, and Sci-Kit.
• Research paper publication pending.

Home Adoptive Response Unit (HARU)

Jan 2018 - Sep 2018

• Developed voice-controlled home device using Raspberry Pi, Google Assistant SDK, and machine learning.
• Converted records of user behavior into a dataset to generate a neural network model to predict future behaviors.
• Crafted 5 applications to support voice commands and automated certain tasks based on user activity history.
• Utilized 3-D modeling software including Creo Parametric to design custom housing and components of the device.

Project TUCAN, Cube Satellite

Feb 2017 - Oct 2017

• Advised team of engineers to design and develop a software and operating system for student-made Cube Satellite.
• Developed program using NASA’s General Mission Analysis Tool to calculate and generate visual trajectory path.
• Coordinated with other advisors to revise and submit funding application to NASA.

Robot Symphony

Apr 2017 - Jun 2017

• Constructed full-size percussion drum set to play notes based on MIDI input.
• Programmed an Arduino Teensy to respond autonomously to changes in notes and pitches.
• Coordinated with other advisors to revise and submit funding application to NASA.
• Performed multiple song transposed into MIDI synchronously with other groups’ robots.