Healthtech startup developing a data-driven sensing and analytics product for monitoring muscle fatigue in athletes
* Built and pitched functional POCs and prototypes to demonstrate feasibility and product vision, securing $100K in funding from the Cornell Tech Startup Awards
* Designed and delivered end-to-end prototypes (custom hardware, firmware, Android app) to showcase real-time data capture and analysis to investors and early stakeholders
* Rapidly iterated on technical and UX prototypes to refine product narrative and validate core assumptions
* Synthesized research data and prototype outputs into clear demos and explanations for non-technical audiences
* Developed a proprietary fatigue scoring algorithm using feature engineering, DSP, and ML models (Python, SQL) on recorded muscular sound datasets