Eric Chen.
I like to create things.
I’m interested in people, philosophy, and technology. In my free time, I write for the web.
I’m interested in people, philosophy, and technology. In my free time, I write for the web.
Welcome! I’m Eric, and I’m a rising senior studying Computer Engineering at the University of Maryland. I have a small presence online via my Twitter, my short-form writing, and my blog, where I share advice and my inner musings. The topics I write about include:
My hobbies include playing basketball, writing, breakdancing, chess, watching K-dramas and anime, learning, and solving twisty puzzles.
I am interested in you, too! Find me in my socials below.
This most recent summer, I interned at a Series B “robotics” startup in NYC founded by Mongo founder and former-CTO Eliot Horowitz. Viam has the vision to build a centralized platform for hardware and robotic components, allowing developers to easily create smart, internet-connected machines. We have a lot of cloud platforms nowadays that helps manage servers for us. Viam helps us manage connections between hardware, providing an easy interface to control things like cameras, motors, sensors, and robotic arms.
I worked on the Robot Development Kit, responsible for creating the drivers for all of our supported hardware components. I helped fix a critical memory management bug plaguing our most popular component: the Raspberry Pi 4 (with over 22k users). Using my knowledge of microprocessors, hardware, and software interfaces, I wrote a new module that overhauled the previous Pi 4 component, fixing one of the most critical bugs on Viam’s platform.
I also did some work with high-precision GPS drivers and testing, which may be important for Viam’s future customers.
In the summer of 2023, I worked at Mobius Labs, a very early-stage 6-person startup based in Menlo Park, California. Mobius is leveraging tools that allow corporations to integrate generative AI into their business processes. I worked on fine-tuning generative AI models such as text-to-image models and open source LLMs.
I was also responsible for staying up to date on the latest technologies in the AI space that could be valuable to the company’s products. I experimented with emerging AI technologies such as LLM plugins and tools.
Stuff I worked on:
I worked within the Data Science Division - MLOps Team at Mailchimp/Intuit. I experimented with methods to optimize the deployment of data science models to production.
I audited three of the datascience pipelines and proposed a myriad of problems and solutions relating to documentation, testing, versioning, notebook development, and production readiness. I was responsible for automating Python and SQL documentation generation and version control. I integrated the solutions into our new repository templates.
Some of the cool technologies I worked with and learned:
I am a part of the QUEST (Quality Enhancement Systems & Teams) Honors Program in Cohort 40. QUEST is an interdisciplinary program for business, engineering, and science students to gain hands-on experience within the industry by partnering with large corporations. We learn how to communicate with clients, create solutions to real problems, and work within intellectually diverse teams.
For the first course, my team and I designed Verbalinkd, a platform to connect immigrant restaurant owners connect with service professionals that they can communicate with. A large portion of immigrant entrepreneurs struggle with language barriers on a daily basis, and we aimed to alleviate them. Read more about that here!
My group consulted for the University of Maryland’s Engineering Career Services, where we designed potential solutions to help alleviate issues relating to registration and check-in for employers at our school’s career fairs. Read a detailed report about our story here!
Our curriculum consists of the following:
We teach public forum debate to middle school students around the country. I have coached students on how to plan debate strategies, organize evidence, think critically, and speak with authority. I handled Trailblazer’s sign-up, administrative organization, advertising, and financial system. Our team has successfully hosted 6 debate camp sessions so far!
Our Curriculum:
I conducted a research project at what would be my future alma mater in my junior year of high school. Having exprimented with Twitter’s Developer API before my internship, I was inspired to do machine learning research on public sentiment on the social media platform. I worked under Dr. Daniel Lathrop and Dr. Heidi Komkov of the Nonlinear Dynamics Laboratory.
I and four other collaborators studied the effects of gene expression during embryogenis on cancer metastasis. We queried the E14.5 mouse embryo database using CBioPortal, one of the leading online hosts of cancer research data.
Our abstract was accepted by the AACR, and we were invited to present at their annual conference in 2020. Unfortunately, due to the COVID pandemic, we were not able to present.
Minor in Robotics and Autonomous Systems | Academy of Machine Learning
Honors Programs:
Accolades:
Extracurricular Activities:
Relevant Coursework:
Upcoming Coursework: