Early-stage B2B SaaS startup building an AI-driven platform to streamline operational and compliance workflows

* Designed and built a production customer-facing admin dashboard (React) that transformed complex compliance paperwork into clear, user-friendly workflows for a B2B enterprise pilot customer

* Rapidly prototyped and refined dashboard workflows through user interviews and story mapping, translating ambiguous compliance processes into usable product experiences

* Owned end-to-end UX design in Figma, defining information architecture, interaction patterns, and visual hierarchy for a complex admin interface

* Built AI-assisted workflows (OpenAI API) to automate metadata extraction and form population, demonstrating scalable solutions during pilot implementations

* Prototyped internal research tooling and data collection setups to validate feasibility of sensing-based workflows

* Built and tested data-collection prototypes to validate sensing approaches before committing to software and ML pipelines

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

ECE M.Eng Student at Cornell Tech

Electrical Engineer

Worked on electrical design for multiple commercial and private projects.

Trained in Revit, AutoCAD and Design Master