Hi, my name is

Eric Chen.

I like to create things.

I’m interested in people, philosophy, and technology. In my free time, I write for the web.

About Me

Welcome! I’m Eric, and I’m a junior 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:

  • Technology and the Internet
  • Cognitive Science and Pyschology
  • Areas of Science
  • Culture and Politics
  • Cloud Computing
  • Popular media

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.

Portfolio

Experience

Software Engineering Intern - Viam
May 2024 - Aug 2024
Incoming SWE at Viam, a robotics startup in NYC founded by ex-Mongo founder Eliot Horowitz
Generative AI Intern - Mobius
May 2023 - Aug 2023

This summer, I worked at Mobius Labs, a very early-stage 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’m worked on:

  • Building data analytics tools with LLMs
  • Testing viability of LLM tools to become potential products
  • Deploying models on AWS to run open source LLMs (text-generation-webui, Sagemaker, custom AMIs on EC2)
  • LangChain, Q&A chatbots, and agents
  • Building chat interfaces with Docker, React, and FastAPI
  • Constructing demos for potential enterprise customers using Streamlit
  • Getting product demos ready for enterprise contracts and VC funding
Machine Learning Engineer - Mailchimp
Jun 2022 - Sep 2022

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’m worked with and learned:

  • Kubernetes and Docker
  • Jenkins and Airflow
  • Python Library Template Engines
  • Google Cloud Platform
Cohort 40 Member - QUEST
Mar 2022 - Present

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:

  • BMGT 190H: Introduction to Quality and Design
  • BMGT 438A: Applied Quantitative Analysis
  • BMGT 390H: Designing Innovative Systems
  • BMGT 490H: A Capstone project where students consult QUEST’s coporate partners on an identified organizational challenge
Head Coach and Administrator - Trailblazer Debate
Sep 2021 - May 2022

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:

  • Public Forum Debate Fundamentals
  • Basics of Argument
  • Public Speaking, Rhetoric, and Clarity
  • Research, Writing, and Analysis
  • Notetaking, Responses, and Strategy
Machine Learning Research Intern - UMD
Jun 2020 - Aug 2020

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.

  • Designed an Artificial Neural Network with Pandas, Scikit-Learn, and TensorFlow to predict the exposure of tweets using sentiment analysis.
  • Created a custom data pipeline using Python and the Twitter Application Programming Interface.
  • Collaborated with mentors to determine and optimize hyperparameters for making predictive estimations of exposure.
  • Presented research to laboratory and peers.
Data Science Research Intern - NIH
Aug 2019 - Nov 2020

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.

  • Queried and identified a dozen critical cancer-related genes in the central nervous system of the E14.5 mouse embryo
  • Performed statistical analysis and analyzed Kaplan-Meier Curves for each gene using cBioPortal genomic datasets

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.

Education

1
2021 - 2025
B.S. in Computer Engineering
University of Maryland - College Park
GPA: 3.96

Minor in Robotics and Autonomous Systems | Academy of Machine Learning

Honors Programs:

  • University Honors
  • QUEST - Collaborative Business and Engineering Teams Program

Accolades:

  • Ted & Janice Smith Endowed Scholarship 2023
  • L3Harris Corporate Partners Scholarship 2022
  • James W. Dally Endowed Scholarship 2022
  • Derek H. Blume Memorial Scholarship 2022
  • Northrop Grumman Environmental Sustainability Challenge Champion 2022
  • Dean’s List (5x)

Extracurricular Activities:

  • Bitcamp Organizer | Tech Director
  • Terps Racing SAE Formula - Composites Team
  • SEDS Liquid Rocket Team - Data Acquisition Team Lead
  • Terps in Space Researcher

Relevant Coursework:

  • Computer Science: Computer Systems, Organization of Programming Languages, Algorithms, Big Data with R, Object-Oriented Programming, Advanced Algorithms
  • Engineering: Discrete Signal Analysis, Engineering Design, Electric Circuits, Digital Logic Design, Digital Systems and Circuits, Signals and System Theory, Computer Organization, Machine Learning, Intro to Robotics
  • General Math + Science: Probability, Differential Equations, Discrete Mathematics, Multivariable Calculus
  • Other: Intro to Design and Quality

Current Coursework:

  • Digital Computer Design
  • Microprocessors
  • Quantitative Analysis (Python)
  • Entrepreneurship and Design
2
2017 - 2021
Science, Mathematics, and Computer Science Magnet Program
Montgomery Blair High School
Extracurricular Activities: Science Bowl Team (B Captain), Math Team, National Circuit Debate Team (Public Forum), Astronomy Team (Captain), Rubik’s Cube Team (Regional Champion)

Get In Touch

Send me an email if you have any questions. My inbox is always open.