
Daniel Z.
5.0
(2)
Studied at University of Virginia, Charlottesville
Works at Google
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About Daniel
As someone who navigated the job market recently, I believe I have insights that are more reflective of this cycle.
Work Experience

Software Engineer
December 2024 - Present
Youtube Shorts

Machine Learning Researcher
UVA Engineering
January 2024 - May 2024
- Optimized Graph Neural Networks using Pytorch to estimate optimal vaccine distribution resulting in a 8% decrease in transmission rate compared to IRL - Leveraged Pandas to parse immunization temporal datasets to develop models to simulate cross-region interactions
Software Engineer
Actual Source
June 2023 - January 2024
-Leveraged the Kubernetes client tools to develop a cluster health monitoring solution to optimize resource costs by providing real time critical feedback on individual pod conditions and snapshot capabilities of pod logs for better debugging. -Leveraged D3 and Websockets to create dynamic cluster visualizations optimizing the continuous fluctuating data i/o to remove redundant HTTP calls resulting in a 60% decrease in front/back end latency. -Architected PostgreSQL database that can effectively handle the exponentially-growing log data for each pod, while also managing organizations and their associated whitelisted accounts due to its inherent scalability and relational capabilities. -Customized the frontend using Material UI for its adherence to Google’s material design guidelines to optimize user accessibility receiving a 89 on Google Lighthouse. -Deployed on AWS S3 for its high capacity infrastructure while containerized with Docker to minimize CI/CD resources. Cascading Style Sheets (CSS), TypeScript and +29 skills
Daniel was also given offers to work at

Geico
Education
University of Virginia, Charlottesville
Bachelor's degree
2021 - 2024
Activities and societies: HooHacks Google Cloud Platform (GCP), Web Applications and +7 skills
2 Reviews
Overall Rating
5.0
Knowledge
5.0
Value
5.0
Responsiveness
5.0
Supportiveness
5.0