I’m a computer science graduate with a 4.0 GPA, focused on Artificial Intelligence—especially the infrastructure, ethics, and system-level thinking needed to make AI secure, scalable, and aligned with human values. My journey to this point hasn’t been linear, but it’s been deliberate—shaped by a deep respect for precision, logic, and intellectual craftsmanship.

After early exposure to programming in one of the poorest school systems in the U.S., I initially pursued a career in audio engineering—founding a production business, working with major label artists, and subsequently managing critical logistics for institutions like the Federal Reserve and Vanderbilt University Medical Center. These experiences taught me how to operate under pressure, solve complex problems in the real world, and deliver results when it matters most.

But my real passion has always been computing. Returning to academia, I built a rigorous foundation in software engineering to support my long-term goals in AI research. I’m particularly drawn to machine reasoning, ethical model development, and the deployment of privacy-aware systems that operate securely in high-stakes environments.

Now, I’m preparing for the next chapter: contributing to a research community dedicated to responsible innovation in AI. My aim is to help build systems that reflect both technical excellence and ethical foresight.