Spearheaded testing of novel AI-based structure segmentation and treatment planning tools developed for the medical technology field. Collaborated with clients to refine product features and enhance solution implementation, improving overall product efficiency by 40%. Initiated quality assurance protocols across all products developed, ensuring strict compliance with FDA and HIPAA standards.Presented solutions to potential clients, communicating key benefits.Developed company website, technical documentation and user guides that enhanced product usability and customer engagement by over 100%.Facilitated feature implementation workflow and brand identity initiatives, including rebranding efforts to strengthen market position.

Project Lead in developing low-cost, solar-powered mosquito traps to help prevent malaria in under-resourced communities and assist in mosquito research in Sub-Saharan areas. Identified needs and performed risk analysis in order to effectively to improve existing model. Created market analysis and patent reports and presented to senior scientists at the Bloomberg School of Public Health and project sponsors.

Working under Dr. Tanya Hutter, I investigated the effectiveness of volatile organic compound (VOC) detection using near-IR sensing and a silicon-based waveguide that was etched within our laboratory. This was achieved by assembling and calibrating waveguide-vapor generator system to use in testing, and experiments were conducted in identifying trends in absorbance based on temperature and concentration using MATLAB.Presented research regarding waveguide sensing for volatile organic compound detection at SPIE Photonics West 2023. Awarded Texas Research Experience Scholarship in August 2021, and was an Honorable Mention in Presentation & Design at 2022 Longhorn Research Poster session.

Supported client in developing an insulin delivery system, aimed to improve user efficiency by 25%. Collected customer and technical data to ensure system was practical. Attended weekly technical meetings and wrote requirements review for device.Taught over 12,000 students in various engineering courses through online learning modules. Created, and recorded give courses related to biomedical engineering topics. Recieved an average rating of 4.44 out of 5.0 on all courses taught.Promoted internally to a contractor in May 2021 from Biomedical Engineering Intern.

Tutored engineering students in differential equations and linear algebra at The University of Texas at Austin.

Assisted in the development of a reusable electronic tattoo device through research on various sensing tools, particularly working with the dehydration of the human body. Conducted research regarding various biomedical methods of sensing vital signs and information regarding the health of the human body. Used SampleManager LIMS to manage data and streamline experimentation

Worked on various coding-based projects, including developing a pipeline to convert MRI images of primate skulls into 3D visuals of the locations where electrodes picked up certain signals and creating coherence graphs and spectrograms using lfp data. In addition, an experiment was designed focusing on comparing a standard manufactured electrode to a fabricated electrode using fast-scan cyclic voltammetry.