• Trained supervised machine learning models to detect wafer defects with an accuracy rate of 95%, utilizing a labeled dataset of over 10,000 images for model training and validation.• Performed system stability evaluations under various operating conditions ensuring 90% uptime, minimizing production delays, and protecting sensitive photonic devices such as photomultiplier tubes.• Optimized tool performance by tuning optical inspection algorithms, increasing real defect detection and meeting customer process and integration requirements.

• Increased inspection efficiency by reducing data collection time by 80% without compromising data quality by implementing good file storage procedures and Python scripts.• Optimized image processing algorithms using Python to improve defect detection, resulting in a 40% decrease in manual inspection. • Aligned and assembled camera lens systems, maintaining micron positional accuracy over six months, ensuring image quality and consistency for defect detection.• Operated industrial defect detection equipment to image a variety of customer parts at different stages of manufacturing and provided detailed reports on the location and severity of all defects of interest.• Led comprehensive tool feasibility studies and delivered presentations, showcasing the superior tool performance and reliability of our optical metrology products to potential customers.

• Implemented an image reconstruction algorithm in Python that preserved major image details with up to 50% loss of the original image. • Constructed low temperature vacuum chamber and custom optical fiber coupled photodetectors using basic machining and drafting skills.• Increased chamber vacuum duration by 50% by researching material properties of low temperature epoxy and solder.

• Developed an experiment to measure the relativistic factor of cosmic ray particles to be accessible for the education of high schoolers and undergraduates while remaining within a budget of $300. • Machined and designed a rotating cosmic ray detector using drill press, soldering iron, and band-saw over a total construction time of 50 hours.

• Designed and constructed instrument payloads to measure atmospheric quantities to be flown on weather balloons that was compliant with Federal Aviation Administration guidelines. • Analyzed multiple data sets and decreased the uncertainty in measurements of maxima in atmospheric data by 50% by implementing different curve fitting procedures. • Collaborated in a team of 20 students to launch, chase, and recover balloon payloads. • Communicated scientific results by participating in a multi-collegic experiment involving different faculty and over 50 other students.

• Reduced data collection time of NMR signal by 50% by diagnosing design errors and soldering various components to tune a detection op-amp. • Constructed various scientific aparati, including an oven air system, temperature controller, and Helmholtz coil, over a combined 200 hours using a mill, metal bandsaw, lathe, and soldering iron.