About Me

I'm always up for an adventure — whether that's exploring new places, traveling to unfamiliar cities, or hiking through scenic trails. I'm also a huge audiophile; I love diving into different genres of music and watching my Spotify Wrapped minutes climb each year. When I'm not chasing a good playlist, you'll probably find me in the kitchen trying out new recipes or baking something sweet. I'm also passionate about reading and love getting lost in a good book — or a great video game.

One of my biggest dreams is to make a meaningful impact in the tech industry by working on thought-provoking, purpose-driven projects. Long-term, my goal is to move back home to the Bay Area with my partner — we're both proud natives, and it's where so many of our favorite memories were made. We also share a passion for travel, and one of our biggest goals is to explore every continent together and truly experience everything the world has to offer.

At the moment, I have been watching an older show called Monk, about a private investigative consultant in San Francisco who has OCD and solves the craziest of crimes. Some go to favorites I love to rewatch include The Grand Tour, and Avatar the Last Airbender. I have also been catching up on One Piece!

I'm driven by the opportunity to solve complex problems and create technology that improves people's lives in meaningful ways. I find it especially fulfilling to take abstract ideas and turn them into real-world solutions, not just functional, but accessible and user-centered. I'm passionate about working on projects that explore the edge of what's possible with emerging technologies, and I thrive when collaborating with others who bring diverse perspectives. For me, innovation is a team sport, the best ideas often come from shared curiosity and creative problem-solving.

I'm currently focused on deep learning, with a particular interest in large language models and their integration into real-world systems. I'm exploring model optimization techniques, inference efficiency, and the challenges of deploying LLMs in resource-constrained or latency-critical environments. Alongside this, I'm deepening my understanding of computer networks and system design to build scalable, distributed architectures that can support modern workloads.

The rapid pace of innovation and the democratization of technology really excite me. We're living in an era where a small team can build something that reaches millions of people worldwide. What makes this especially remarkable is how accessible software development has become, unlike other fields, you don't need expensive equipment or years of formal training to start building. With just a laptop and internet connection, anyone can learn to code and deploy applications globally. I'm particularly fascinated by how emerging technologies like AI, IoT, and edge computing are creating new possibilities we couldn't have imagined just a few years ago.

One of my biggest dreams is to make a meaningful impact in the tech industry by working on thought-provoking, purpose-driven projects. Long-term, my goal is to move back home to the Bay Area with my partner — we're both proud natives, and it's where so many of our favorite memories were made. We also share a passion for travel, and one of our biggest goals is to explore every continent together and truly experience everything the world has to offer.

After my undergrad, I wanted to explore more the software side of software development and technology. I saw that this is where the future was headed, and I wanted to be as well-rounded as possible. Additionally, pursuing my masters at UCSD allowed me to learn cutting edge advancements in the industry such as AI and LLMs from successful professors who do research within the fields that they teach.

During the Fall quarter of my first year of MS, I took a computer security class lead by Professor Fernandez, where we dove into the forefront of computer security research. We participated in a 3 month long research campaign, where my team explored the vulnerabilities of function calling in mainstream LLMs such as Meta's Llama and Google's Gemini through manipulated token prompt injection. It was incredible having the opportunity to conduct research on the forefront of this field, with tangible results.

If you are interested, you can read more about our results here.