Summary
Titus John is a research engineer with 11 years of experience applying signal processing and machine learning to medical and automotive audio/physiological data, currently based in Ann Arbor. He has designed and shipped algorithms for wearable cardiac monitoring (PPG/ECG/SCG) in a >1,000 patient clinical study, built AI-driven digital stethoscope diagnostics, and developed vehicle virtual microphone and active noise cancellation systems. Comfortable moving models from MATLAB/Python prototypes into embedded and production environments, he combines hands-on DSP, DNN-based audio classification, and clinical trial data curation. Beyond engineering, he has secured and supported ~ $2M in NIH SBIR funding and created dashboards to translate trial progress into operational insights, reflecting a knack for bridging technical, clinical, and business needs.
11 years of coding experience
12 years of employment as a software developer
Master's degree Biomedical/Medical Engineering, Master's degree Biomedical/Medical Engineering at University of Michigan
Bachelor’s Degree Biomedical/Medical Engineering, Bachelor’s Degree Biomedical/Medical Engineering at North Carolina State University
English