I am a
Undergraduate Student at UC Berkeley, Class of 2020
I have knowledge/experience in:
Electrical Engineering and Computer Sciences Major
Backend systems, Infrastructure, Developer Tools, Metrics/Logging
Python, Ruby, Java, Scala, C, C++, Node.js
Developing molecular probes for Medical Imaging Techniques
Running a marathon
Growing a pineapple
Collecting Disneyland Trading Pins
HiFi Headphones - (AKG Q701, Etymotic HF5, VE Monks, Svara Reds)
Headphones - (Bose QC35 IIs)
Software Engineering Intern at Pinterest
Visibility team. Working with logging/metrics/observability. Redesigning the way core services at Pinterest report metrics with a custom metrics implementation with by-host and by-cluster aggregation.
Fellowship program in technology and entrepreneurship hosted by Kleiner Perkins.
Silicon Valley industry and venture capital mentorship program ran by Accel Partners.
Software Engineering Intern at Stripe
Developer Productivity team. Focusing on large-scale code refactors, product infrastructure, developer tools, and maintaining scalability of Stripe’s code. Implemented Ruby enums in Stripe’s code as part of a long-term project to increase code quality via building a Ruby Typechecker (Sorbet
). Rewrote ~2,000 existing modules to a new enum format.
Integrated VSCode IDE with Sorbet. Features include Jump-to-Definition, Autocomplete, showing type on hover, and suggesting method signature and documentation while typing. Developed with LSP extensions.
Responsible for grading homeworks and exams. Topics covered include support vector machines, gaussian discriminant analysis, various regressions, and dimensionality reduction techniques.
Responsible for leading weekly discussion section, office hours, grading homework and exams as well as creating new content material and administrative duties. Topics taught include Linear Time Invariant Systems, Fourier series/transforms, sampling/resampling, communications techniques, control systems, z-transforms, and filter designs.
Executive member. Responsible for budget, club logistics and Berkeley ASUC relations. Previous clients include Atlassian
Software Engineering Intern at Trimian
Research Intern at Stanford University Department of Radiology
Devised and conducted independent research project with self-assembling nanoparticles. Contributed to ongoing lab group research projects. Made multiple poster presentations both independently and with lab group. Helped organize a nanoparticle summer camp for visiting students.
EE123 Digital Signal Processing Final Project
. The objective of the project was to send a highest possible quality photo through a 2.5KHz wide wireless channel (Baofeng Ham Radios) in 75 seconds. We implemented our own modems and compression algorithms on Raspberry Pis. Used custom AFSK2400 modems, JPEG compression, vector quantization. Sample Image and PSNR. Project Spec.
Webapp that takes in a mp3 song and recommends 100+ headphones based on price, form factor, and sound signature (bassy, neutral, mid, v-shaped). Uses the Fourier Transform and Welch's method on the mp3 to generate a spectral density estimation of the song, then classifies it and returns a list of headphones for the user.
. Winner of CalHacks 3.0, Social Good Award. Chrome extension for automatically displaying objectivity of news articles.
Surface Specific Rationally Self-Assembling Au-Fe Oxide Nanoparticles: A Potential Multi-Modal Imaging Agent Platform for Early Tumor Diagnosis.
Photoacoustic Detection of Thyroid Carcinoma Using Targeted Gold Nanotripods.
Dual-Modal NIR-II Fluorescence and Photoacoustic Imaging of Thyroid Carcinoma Using EGFR-targeted Donor-Acceptor Chromophore Based Nanoprobes.
in the Journal of Nuclear Medicine with Kai Cheng, Zheng Cheng.
Synthesis, Characterization and Biomedical Applications of a Targeted Dual-Modal NIR-II Fluorescence and Photoacoustic Imaging Nanoprobe.
To be published in ACS Nano with Kai Cheng, Zhen Cheng. Under Peer Review.