Preventative Maintenance (PM) Documentation:• Documented and optimized fab PM procedures in a Class 10 cleanroom, primarily focusing on atomic-layer deposition (ALD) tools. • Improved process efficiency by identifying key areas for reducing tool downtime through enhanced maintenance techniques.Data Automation and Multithreading:• Automated the cross-referencing of SQL database entries with supplier catalogs sourced via Selenium and BeautifulSoup, leveraging Python’s Pandas library for data processing. • Implemented multithreading to streamline data retrieval times and improve runtime efficiency of web-scraper.3D-Printed Ergonomic Tools:• Designed and fabricated ergonomic tools using 3D printing to streamline labor-intensive maintenance tasks. These tools improved manual handling processes and increased operator efficiency during PM’s.

Electric Field Nanowire Manipulation:• Coated electrodes on a custom 3D-printed “nano-pen” using Physical Vapor Deposition (PVD), observed under a Scanning Electron Microscope (SEM). These electrodes create electric fields to manipulate nanowires in solution beneath the nano-pen.• Recorded high-magnification video of nanowire motion under varying voltages to examine electric field effects on nanowire movement.Nano-Pen Manipulator (NPM) System Development:• Designed and built a custom linear rail system with FUYU™ rails and motors, integrated into an aluminum frame with an air-cooled power supply for Arduino-controlled stepper motors along x, y, and z axes.• Programmed automated homing routines and implemented real-time control and feedback using PySerial communication.NPM Video Analysis Software:• Developed a Python-based GUI with PyQt and OpenCV for real-time tracking and analysis of nanowire manipulation.• Enabled multithreading for parallel processing of video streams with filters such as thresholding, contrast adjustment, Gaussian blur, and background subtraction.• Integrated Kalman filtering for noise reduction, allowing smooth plotting of voltage versus velocity.Precision Calibration of NPM Linear Rail System:• Created a command-line tool for linear-rail calibration using template matching on recorded measurements.• Employed a multistage, multithreaded approach, first detecting in low-resolution areas and then refining positions with full-resolution searches, significantly improving computation time.• Used DBSCAN clustering to identify position clusters and Kalman filtering to highlight trends.• Developed z-axis calibration using the “Variance of Laplacian” for sharpness assessment, matching frames with reference images to estimate z-axis displacement.• Applied DBSCAN clustering on nanowire positions to estimate distances and used linear regression to calculate step-to-micron conversion, achieving an R² value of 0.9883.

- Answered phone calls- Directed students to advisors- Responded to emails- Answered various general advising questions- Represented the Cockrell School of Engineering as the face of Engineering Student Services (ESS)

- Tutored fellow engineering students in lower and upper division mathematics courses covering differential and integral calculus, differential equations, and linear algebra.

- Guided groups of 30+ students through eGrove's Spatial Visualization course- Managed attendance and assignment records- Oversaw weekly lessons