About Me
I've graduated from the University of Washington with a B.A. in Mathematics and a considerable background in computer science. After getting out of school, I took the time to do a deep-dive in topics related to distributed systems, computer networking, and information security. Along the way, I've gotten the opportunities to delve into systems configuration, virtualization, cloud computing & microservices. On the side, I've taken the time to explore the more retro side of computing through Assembly programming for the Atari 2600 & writing a 3D graphics engine from scratch using C & SDL2.
I am currently working as a DevOps Engineer at Resolution Bioscience, where I am helping develop a non-invasive liquid biopsy platform that uses next-generation sequencing (NGS) to detect genetic variations known to drive cancer.
My hobbies include reading, cooking, hiking, and photography in my spare time. But usually when I'm not outdoors, you can expect to find me spending most of my time living in the command line.
Here are a few technologies I've been working with recently:
- Python
- Docker
- Kubernetes
- Ansible
- Terraform
- Typescript
Where I've Worked
DevOps Engineer @ Resolution Bioscience
Feb 2021 - Present
- Developing scripts and software tools to address custom user requests and streamline daily operations and support.
- Working with DevOps and software engineers to automate cloud infrastructure and software deployments.
- Implementing and executing process audits such as audits of automated backups, monitoring systems, etc.
- Diagnosing and resolving user tickets related to the Resolution Bioscience analysis pipelines and laboratory information management system – debugging issues, executing code, and escalating to internal teams when necessary.
- Improving Resolution Bioscience's software management and deployment standards including source code management, issue tracking, staging and deployment standards, and documentation.
Mathematics/Computer Science Tutor @ UW Instructional Center
Oct 2019 - Mar 2020
- Gave help to students on their homework assignments and preparing for exams.
- Taught math subjects ranging among calculus, statistics, and linear algebra.
- Helped students in the introductory computer science courses by guiding them on how to debug their projects & encouraged good programming principles.
- Worked with other tutors and instructors to explain and clarify challenging concepts.
Student Assistant @ UW Department of Linguistics
Oct 2017 - Mar 2018
- Regularly updated the department's website to reflect faculty activity.
- Involved with research in Natural Language Processing.
- Organized coursework, paperwork (financial & administrative).
- Digitalized dissertations and Masters/PhD Theses.
- Worked closely with department faculty such graduate students and professors.
Some ML Projects I've Worked On
Featured Project
Music Clustering and Classification
A machine learning project that utilizes various supervised and unsupervised algorithms and compared their accuracies when classifying musical tracks by genre by comparing their frequencies to different genre spectograms.
- MATLAB
Featured Project
MNIST Handwriting Recognition
Predicts a given user's handwriting of a number and guesses the number. The algorithm tests 70,000 handwritten digits from 0-9 from Kaggle's MNIST Database using a two-layer neural network.
- MATLAB
Featured Project
Eigenfaces
A demonstration of the Singular-Value-Decomposition (SVD) matrix algorithm applied to Yale's extended database of faces, which explores the significance of amplitudinal modes in image reconstruction.
- MATLAB
Other Projects
view the archiveWhat's Next?
Get In Touch
I'm always looking to meet new people in tech and many other different industries! My inbox is always open, and if you found my profile interesting, shoot me an email and I will get back to you.