# Yang Qi

> Software Engineer

Location: Cambridge, Massachusetts, United States
Profile: https://flows.cv/yangqi

A Master's graduate in Computer Software Engineering, with a strong foundation in full-stack development, deploying monitoring systems, and optimizing infrastructure. Proficient in full-stack tools like React/Vue and Node.js(Express), Python(Django and FastAPI); DevOps and CI/CD with cloud services(AWS). Motivated by bridging technology and impactful solutions across industries.

## Work Experience
### Software Engineer @ MorphMind
Jan 2025 – Present | Boston, Massachusetts, United States
Build domain-aware agents that automate routine work and reduce engineering overhead, delivering transparent reasoning for everyone.

### Full Stack Engineer @ SHINGA Creative
Jan 2025 – Jan 2025

### Software Developer @ University of Utah Health
Jan 2023 – Jan 2025 | Utah, United States
• Developed web-based applications for genetic variants analysis, visualization, and detection at the University of Utah School of Medicine.
• Contributed to open source projects like https://gene.iobio.io/ and https://bam2.iobio.io/.
• Deployed a centralized monitoring system (Grafana, Prometheus, Loki, Docker-compose) to improve backend stability by 70% and reduce costs by 30% through auto-scaling and proactive alerting.

### 3D Print Lab Assistant @ University of Utah
Jan 2022 – Jan 2023 | Salt Lake City, Utah, United States
•Developed a 3D printer ticket system using Python, FastAPI, and MongoDB to automate print request workflows and monitor printer operational status, integrating with Jira for ticket management.
•Provided consultation to students and faculties on 3D modeling and assisted with 3D designing, scanning, and printing.

### Software Engineer Internship @ Enveda
Jan 2022 – Jan 2022 | Denver, Colorado, United States
•Automated bio-lab data processing and enhanced the AI-aided drug discovery workflow by building ETL pipelines with a CI/CD process (GitHub Actions, Docker, ECR), improving data delivery efficiency for scientific teams.
•Built event-driven, serverless ETL pipelines using AWS Lambda, AWS Glue and DynamoDB creating a scalable and cost-efficient data processing foundation for the ML platform.
•Deployed a machine learning model inference service and Streamlit web application with Python and RDKit, empowering biologists to perform real-time chemical compound prediction analysis


## Education
### Master's degree in Computer Software Engineering
University of Utah

### Bachelor's degree in Mechanical Engineering
University of Electronic Science and Technology of China


## Contact & Social
- LinkedIn: https://linkedin.com/in/yangqi007
- Portfolio: https://my-portfolio-yangqi007-projects.vercel.app/

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Source: https://flows.cv/yangqi
JSON Resume: https://flows.cv/yangqi/resume.json
Last updated: 2026-03-28