I'm Carl Wang, a Computer Science student at Washington University in St. Louis graduating in May 2026, with hands-on experience building production-grade software across mobile, web, and cloud environments.
Over the past years, I've had the opportunity to contribute to meaningful projects spanning healthcare, robotics, and automotive technology, developing a clinical motion-tracking app for WashU's Neurosurgery Department, building cross-platform mobile solutions as a software development intern, and engineering autonomous navigation systems for drone platforms. My work spans the full stack, with strong proficiency in languages and frameworks including Kotlin, React, Vue, Python, and AWS.
I'm passionate about writing clean, reliable code that solves real problems, and I bring that same rigor to everything from algorithm design to UI/UX implementation. I also have a publication in deep learning-based object detection, reflecting my interest in pushing beyond coursework into applied research.
I'm actively seeking full-time software engineering roles where I can contribute to high-impact teams and continue growing as an engineer.
Built Synaptrack app using Kotlin, React Native, and Android Studio, matching iOS performance within ±3% in clinical motion tests.
Integrated gyroscope, accelerometer, quaternion data with custom Kalman and low-pass filters, boosting 85% signal accuracy.
Optimized UI layouts adaptable to 10+ screen sizes, ensuring consistent user experience and reliable medical data collection.
Validated algorithms with a cross-functional team of clinicians and data scientists; supported pilot deployment with ~30 patients and ongoing QA for Play Store submission.
Collaborated in an agile development environment to build Flutter and AWS backend services for Papertrail Auto, a cross-platform automotive record app (4.6★, 1K+ downloads).
Translated Figma prototypes into responsive, production-ready Flutter interfaces and integrated AWS Lambda notifications for real-time in-app alerts.
Conducted cross-platform QA on iOS and Android, resolving UI and performance issues, improving release reliability by 30%.
Supported instruction for 100+ students across intro programming, software engineering, and web development courses, and led debugging sessions covering Arduino, JavaScript, PHP, web frameworks, enhancing student project success.