Experience

Semgrep

• United States
• Software Development
• 1 - 100 Employee

• Senior Security Researcher

  • May 2023 - Present



Semgrep

• United States
• Software Development
• 1 - 100 Employee

• Security Researcher

  • Jul 2020 - Mar 2023

  Enforcing secure guardrails by writing static analysis rules Researching web vulnerabilities in open-source repositories Delving into program analysis and language grammar constructs by adding Kotlin to supported languages Enforcing secure guardrails by writing static analysis rules Researching web vulnerabilities in open-source repositories Delving into program analysis and language grammar constructs by adding Kotlin to supported languages



Apple

• United States
• Computers and Electronics Manufacturing
• 700 & Above Employee

• Apple Information Security Intern

  • Jun 2019 - Sep 2019

  Crafted a distributed, cloud-based password cracking infrastructure using hashcat and AWS Crafted a distributed, cloud-based password cracking infrastructure using hashcat and AWS



Google

• United States
• Software Development
• 700 & Above Employee

• Engineering Practicum Intern

  • Jun 2018 - Sep 2018

  Integrated statistically sound experiments framework into Google Video Conferencing auto-remediation tool Integrated statistically sound experiments framework into Google Video Conferencing auto-remediation tool



Palo Alto Networks

• United States
• Computer and Network Security
• 700 & Above Employee

• Proof of Concepts Intern

  • Feb 2018 - Jun 2018

  Researched phishing IOCs and filtered phishing websites with PAN firewall Researched phishing IOCs and filtered phishing websites with PAN firewall



NetApp

• United States
• IT Services and IT Consulting
• 700 & Above Employee

• NetApp Software Intern

  • Jun 2017 - Aug 2017

  Analyzed RAID health utilizing neural networks in Python and multi class regression analysis Built a neural network to produce a multi class classification equation with Google's Tensorflow. Analyzed RAID health utilizing neural networks in Python and multi class regression analysis Built a neural network to produce a multi class classification equation with Google's Tensorflow.



University of North Texas

• United States
• Higher Education
• 700 & Above Employee

• Computational Chemistry Research Intern

  • May 2015 - Aug 2015

  Published 7 papers on the Abraham Salvation Model in international science journals. Efficiently utilized computer software and Excel programming to statistically analyze 2,000+ data points in order to calculate percent accuracy of experimental values. Revised regression models to increase accuracy of predicting chemical properties of compounds used in the pharmaceutical industry by more than 30%. Applied linear models to discover safer replacements to common carcinogenic chemicals that 9.8 million workers are exposed to daily. Show less