• Completed tasks as part of Meta’s Bootcamp program including creating a web page as well as modifying live Meta code

• Part of Meta's November 9th, 2022 reduction in force while still in Bootcamp

• Built and developed a Chainlink External Adapter API using Rust and the Rocket API framework

• Collaborated with coworkers to integrate the API with Chainlink and the company’s codebase

• Conducted research on various cryptocurrency concepts, focusing on Layer 2 solutions to scaling

problems including Optimistic and Zero-Knowledge Rollups

• Successfully designed, built, and implemented a Python log parsing tool

• Parser was able to read an 800,000-line log file and check the IP addresses within against over 200,000 blacklisted IP addresses in under 75 seconds

• Presented completed log parsing tool with live demo to Cyber Response team

• Contributed to and shadowed Digital Forensics and Incident Response (DFIR) investigations including intellectual property theft, threat hunting and ransomware

• Participated in DFIR training on Windows, Linux and MacOS systems, gaining comprehensive knowledge of various forensic artifacts such as link files and jump lists

• Developed machine learning methods for prediction of driver risk based on GPS trajectories working primarily with Convolutional Neural Networks and boosted decision trees

• Tested and analyzed the performance and representation of existing machine learning methods on GPS data, reading papers and implementing solutions in TensorFlow