About / San Jose
I am an incoming Fall 2026 Computer Science transfer at San José State University, building toward summer 2027 cybersecurity and solutions-engineering internships.
01 / Direction
I am most interested in cybersecurity, security operations, solutions engineering, and implementation work where technical depth has to become a clear decision for a customer, teammate, or business leader.
Production software at Virtius, a Wazuh home lab, an Airtable CRM at HeartBeam, workplace automation at AVAC, and daily customer communication all contribute to that direction.
02 / Ultralearning
I am an ultralearner. I take responsibility for designing the way I learn instead of waiting for a class, project, or credential to do it for me. I choose a demanding target, identify the smallest set of fundamentals that supports it, and build direct practice around the real skill.
By deep learning, I do not mean machine learning. I mean understanding something beyond recognition: retrieving it without notes, applying it in a real system, finding where my mental model breaks, correcting it, and explaining the result clearly enough that someone else can follow it.
The goal is not to collect information. It is to create durable skill, visible evidence, and the ability to work through a problem when the instructions disappear.
03 / Daily rhythm
Consistency gives the intense work somewhere to live. My schedule is simple enough to repeat and structured enough to protect both my attention and my body.
Start the day moving and clear my head before the first work block.
Use the quietest part of the day for the hardest learning or building task.
Bring the same focus into production work, classes, and customer-facing responsibilities.
Take care of my body so the learning pace is sustainable instead of temporary.
Retrieve the important ideas, note the weak points, recover, and come back tomorrow.
I’m an ultralearner. The repetition is the point.
04 / Evidence
The case studies distinguish professional product work, customer-facing operations, workplace automation, personal deployments, and controlled labs. That boundary matters: it shows what I have operated, what I have practiced, and what I am still learning.