Crafting solutions at the intersection of data and human experience.
I move between worlds - tech, creativity, data, music; not because I have to, but because that's where the magic happens. I’m here to build things that matter and leave things better than I found them.
I’ve always been drawn to the way things work beneath the surface - how data can reveal patterns, stories, and sometimes even truths we didn’t know we were looking for. What started as curiosity turned into a purpose: building intelligent systems that don’t just process information, but make a real difference in how people interact with the world around them.
My work lives at the intersection of logic and creativity. I care deeply about technical precision, but also about the why behind it all. For me, solving a problem isn't just about writing the perfect line of code—it's about understanding the people, the context, and the impact.
Whether I’m building an AI to streamline a warehouse, crafting a chatbot with a little swagger, or exploring new ways to combine vision and language models, I try to keep one thing constant: making technology feel more human.
Currently at DieselCore, I architect AI solutions focused on conversational systems, computer vision, and knowledge retrieval.
With 3+ years spanning data science, software engineering, and applied machine learning, I bring a cross-functional lens to every challenge. I care about what works. And why it matters.
When I'm not engineering solutions, I create music as a verified Spotify artist. This creative outlet complements my technical work - both involve recognizing patterns, whether in data or musical notes. I find that moving between these worlds enhances my ability to approach problems from unique angles.
I'm driven by curiosity and a desire to understand how things work at a fundamental level. Whether exploring new machine learning techniques or experimenting with musical compositions, I'm constantly learning and pushing boundaries.
Building systems that understand nuance, not just commands. |
Teaching machines to see what matters. |
Connecting fragmented knowledge into fluid, intelligent answers. |