I approach engineering with a systems-first mentality. From the versatility of the Raspberry Pi ecosystem to the intricate precision of PCB design, I focus on building hardware that is as robust as it is efficient. To me, a project isn't just a collection of parts—it’s an ecosystem of power, signals, and structural integrity.
My work explores the intersection of high-level computing and low-level execution. Whether I am routing complex traces on a custom board or designing a wiring harness that minimizes noise and maximizes airflow, I strive for a level of craftsmanship that is visible both inside and out. I don't just solve technical problems; I build the infrastructure for innovation.
I use my passion in building DIY projects to further improve my career. Even if I am a young person I belive no matter your age or who you are everyone has the opurtunity in becomeing a sucessful entraprenuer. I am working very hard on launching my first product sucessfuly and making my dream come true. My product is a portable basketball hoop that tracks points. The catch? This is unlike and normal portable basketball hoop. This is a small yet smart hoop that can be placed on top of a staircase, and once there you can shoot from the bottom. On top of that you can also put in on the stairs too. With this versitility anywhere you go you can get your practice in and track it. Well you might say "What's the difference between this and a normal nerf hoop on the door?" The difference you get from this hoop is substantial as other than point tracking inbuilt volume controls and pressure sensors are added to see your ideal shooting range and where you can improve.
EcoTrace is an app I am working on that uses AI to track and calculate food waste that is made by schools. The problem is evident, as in the US alone, over 400,000 pounds of food are wasted and thrown away. The primary reason for this is that students throw away food due to their dislike of it. EcoTrace helps schools and the environment by making adjustments to schools' menus based on what students like and what they don't. The recommendations are made with the information that is entered by the school. Once this data is made, the AI uses it to make adjustments.