Profile picture of Yujie Wang
Hi, I'm Yujie.
I'm a software engineer.

Experience

Payments Development: Amazon
May 2021 ‐ Aug. 2021

Designed, implemented, used production code (Java) for migrating payments encryption in all established regions.
Migrated all in‐scope payments processors in a manual migration, covering >50% of all live disbursements traffic.
Migration plan covers >60% of all live payments traffic and aligns with initiatives to mitigate SDE effort and damage.
Implemented secure Elasticsearch dual publishing of payments data for improving CI/CD speed.

Computational Research: Genes in Space (Boeing, NASA, MiniPCR)
May 2019 ‐ Jan. 2021

Pioneered computational genetics experiment that launched aboard SpaceX Dragon and conducted on the International Space Station.
Proposed, developed procedures for mapping changes to the neural transcriptome in space using long‐read sequencing.
Validated predictive models for use with neural tissue that will help develop astronaut health measurement tools.
Analyzed potential changes in gene expression in spaceflight, helping to determine causes of neural change in space.

Bioinformatics Research: University of California, Berkeley
Aug. 2019 ‐ Aug. 2019

Second author of https://doi.org/10.1093/bioinformatics/btaa633. under the journal Bioinformatics
Created indel‐detecting state machines for Machine Boss, a Bioinformatic Automata prototyper that can be used in genomics analysis.
Project implements a set of operations for manipulating and combining automata to make the prototyping of bioinformatics HMMs easier.

Extracurriculars

SeedShuttle, Team Lead

Constructed automated plant chamber for space station, won first in NASA’s Growing Beyond Earth competition.
Increased efficiency in volume usage by 300% over current conventional growth solutions by using automation.
Implemented data collection (C++), automated uploads, processed data (Python), and built thermal regulation circuit.

Machine Learning at Berkeley, Project Member

Extended established machine learning architectures, including rotation and super resolution networks.
Decreased required train time by developing reinforcement learning and computer vision architectures specific to theoretical tasks.

Berkeley Math and IEEE-HKN, Developer

Created dynamic check‐in page using Python Django and HTML, streamlining payments and parental consent forms.
Prototyped API to generate math contest questions for integration with an educational technology company.
Created interface to easily add and remove sponsors from website front page, replaced static photo gallery backend.