Over the course of my 5 years as a Software and ML Engineer, I have developed mastery over working on highly visible, deployed, and rapidly evolving systems such as the JHU COVID Dashboard. I specialize in backend development using technologies such as FastAPI and SQLAlchemy but also have experience with frontend development (Vue and Angular) and DevOps (CI/CD and Docker). I've worked on LLM projects where I have deployed and evaluated open source LLMs and different inference servers in information restricted spaces. Some of my evaluation work has been presented at Nvidia's GTC. I am particularly interested in problems that provide meaningful impact to the lives of the average person whether that's in the form of healthcare or entertainment.
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Independent ContractorProtect3DHockessin, De, Us -
Software EngineerThe Johns Hopkins University Applied Physics Laboratory Jul 2019 - Feb 2024Laurel, MdAs Lead Software Architect, I led and mentored a team of 15 developers working on the Johns Hopkins University COVID-19 Dashboard Data Pipeline, one of the most widely viewed and accessed sources of COVID-19 data globally. I oversaw the development and maintenance of the pipeline, continuously adapting it to new data sources and evolving needs. I also led efforts to enhance data quality assurance, infrastructure migrations, and anomaly detection, improving performance by 35%. I worked closely with the JHU Coronavirus Resource Center and briefed the CDC on the pipeline’s architecture, data acquisition, and cleaning processes. Additionally, I ensured the quality and accuracy of the data, responding to urgent inquiries from media outlets like Bloomberg and CNN.As a Full Stack Engineer, I independently led the design and development of key features for a multimillion-dollar AI persona-based message generation project. I implemented private personas for enhanced security and reduced visual clutter, integrating authentication technology with the application’s database and adding security permission checks to API endpoints. I refactored unit tests and database queries which improved performance by 15% and enhanced code readability and consistency. I also developed ORMs and FastAPI endpoints to interface with GPU workers to generate sentiment metrics for AI-generated messages.On a different project, I designed the entirety of the database and migrations, API, and unit tests using SQLAlchemy, FastAPI, and PyTest. I collaborated with technical leads, analytics teams, and clients to define robust data models for complex, loosely structured data. To optimize development and deployment workflows, I assembled developer tooling, including pre-commit formatting, linting, unit testing, and Docker image builds. I also established a Docker Artifactory repository, seamlessly integrating it with the CI/CD pipeline to enhance version control and deployment processes. -
Student GraderUniversity Of Delaware Feb 2018 - Jun 2019Newark, DeGraded quizzes for various levels of calculus for different professors in the mathematics department -
StudentUniversity Of Delaware Aug 2015 - Jun 2019Newark, DeReceived a Bachelor of Science in Mathematical Sciences and a Bachelor of Arts in Computer Science -
Student ResearcherUniversity Of Delaware Jun 2018 - Aug 2018Newark, DeConducted machine learning research on network packet logs in order to detect potentially malicious packets
Grant Zhao Education Details
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Alumnus -
Artificial Intelligence
Frequently Asked Questions about Grant Zhao
What company does Grant Zhao work for?
Grant Zhao works for Protect3d
What is Grant Zhao's role at the current company?
Grant Zhao's current role is Independent Contractor.
What schools did Grant Zhao attend?
Grant Zhao attended University Of Delaware, University Of Delaware, The Johns Hopkins University.
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Qiyuan(Grant) Zhao
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Grant Zhao
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