# Michael K.

> Artificial Intelligence @ USC | AI/ML Software Engineer

Location: Santa Clara, California, United States
Profile: https://flows.cv/michaelk3

Hey, I'm Michael Kingsley, a Software Engineer building production agentic AI systems and clinical automation that helps doctors work smarter. I hold an MS in Computer Science from USC and a BS in Data Science from the University of Rochester. Outside of work, you'll find me in the gym, deep in a sci-fi novel, or playing the latest game.

## Work Experience
### Software Engineer @ Vibrant Wellness
Jan 2025 – Present | Santa Clara, California, United States
Refactored a monolithic TypeScript codebase into modular microservices, improving performance by up to 97%.

Designed and optimized REST APIs, reducing response times from ~90s to 5–10s.

Automated CI/CD pipelines with Jenkins and Docker, accelerating and stabilizing releases.

Built a version control and auditing system with Prisma ORM, cutting compliance and debugging time by 60%.

Partnered with cross-functional teams to design and deliver new internal products and tools.

### AI/ML Engineer @ SDA TAP Lab
Jan 2024 – Jan 2024 | Los Angeles, California, United States
U.S. Space Force (SDA Tap Lab) | Top 10 Finalist, $100K MEPC (USC)

• Co-led 60+ interviews with military and industry experts; fielded open-source software for US Space Operations, enhancing space launch characterization. Pitched product to 70+ investors with strong interest.

• Fine-tuned YOLOv9 on open-source and Controlled Unclassified Information (CUI) satellite imagery to detect small objects with a 0.48 Intersection Over Union (IOU), a 20% improvement over previous models, enhancing resolution and accuracy of surveillance data.

• Enhanced satellite imagery analysis by 40% by integrating advanced analytics and embedding space comparisons; coordinated cross-functional efforts to develop a real-time alert system for notifying U.S. Space Force of critical events.

• Selected as a Top 10 Finalist in the $100K Maseeh Entrepreneurship Prize Competition (MEPC) for deep-tech innovation and market readiness.

### Computational Statistics Teaching Assistant @ University of Rochester
Jan 2022 – Jan 2022 | Rochester, New York, United States

### Research Assistant @ University of Rochester
Jan 2022 – Jan 2022 | Rochester, New York, United States


## Education
### Master of Science - MS in Computer Science Artificial Intelligence
USC Viterbi School of Engineering

### Bachelor of Science - BS in Data Science
University of Rochester


## Contact & Social
- LinkedIn: https://linkedin.com/in/michaelzk
- Portfolio: https://michaelzk.dev

---
Source: https://flows.cv/michaelk3
JSON Resume: https://flows.cv/michaelk3/resume.json
Last updated: 2026-04-11