Tri Le

Tri Le is a skilled professional with a background in Information Security, Electrical Engineering, and a range of technical expertise.

With a Master's degree in Information Security and Assurance from George Mason University, and a Bachelor's degree in Electrical Engineering from the University of Virginia, Tri Le has a strong educational foundation.

Having worked at reputable organizations such as Booz Allen Hamilton, Lockheed Martin, and AECOM, Tri Le has experience as a Lead Technologist, Cyber Intel Analyst, and Electrical Controls Engineer.

His technical skills encompass a wide array of languages and technologies including C, C#, Python, Java, Swift, JavaScript, Flutter, Tensorflow, Android, iOS, and more.

Tri Le's current interests lie in deep learning with a focus on computer vision, as well as Flutter SDK for cross-platform mobile development, Augmented Reality, AI-powered home security, reverse engineering, exploitation, and cloud technologies.

He is proficient in tools such as Xposed, Frida, IDA Pro, RabbitMq, Docker, SQL, NoSQL, Metasploit, Nessus, Nmap, AWS, Digital Ocean, and Firebase, showcasing his versatility in the tech industry.