Supervisor: Prof. Michal BajcsyMaster's thesis on the progress of a hybrid quantum repeater using quantum dot photon sources interfaced with cold atomic memories loaded into a hollowcore fiber• Designed a miniature EIT-DAVLL laser locking setup for upper atomic transitions with 3D printed optics boards and room temperature vapor cells• Characterized the fine structure splitting and wavelength tuning of quantum dots by gas injection• Conducting initial experiments on quantum memory in warm Cs vapor using EIT and off-resonant Raman protocolsFirst Authored Conference Presentations:• "3D printed push fit board for a two-photon DAVLL," 2024 Photonics West• "Electro-optic modulator stabilizer for consistent generation of short tunable optical pulses," 2023 Photonics NorthAwarded the Engineering Excellence Master’s Fellowship for academic performance

Led tutorials, created assignment/exam solutions, conducted office hours, and graded course deliverables Courses include:NE 241 – ElectromagnetismNE 343 – Microfabrication and Thin Film Technology

Supervisor: Prof. Michal BajcsyCreated diagnostics tool to measure #atoms, temperature, and alignment for atoms in a magneto-optical trap using a Raspberry Pi and CCD cameras Investigated results of spatially and spectrally resolved imaging on hollow-core optical fiber modes

Created automated analysis of CCD camera MTF and CTE specifications using MATLABAcquired sensor electrical-optical data in cleanrooms; prepared technical analysis reports to enable product deliveryDesigned test stations to characterize light source properties and feasibility

Development of automated LCoS defect detection station with OpenCV and optical components to optimize yieldConducted root cause investigation of high contamination steps in LCoS alignment and devised precautionary plan

Supervisor: Prof. Rajibul IslamDesigned miniature 3D printed ion trap apparatus using InventorSuccessfully trapped spores in free space using 3D printed ion trap with high voltage electric fields

Worked extensively on OpenCV machine vision tracking algorithms for automated tensile testingIntroduced multicolor sample tracking, improving trackable sample pool by over 100%Electrical design and prototyping of autocalibration sample tray system with Arduino

Led development of dynamic AngularJS translation softwareBuilt E2E automated testing scripts with Selenium/JavaScript

Used C++ and ROS to develop an interactive simulation for a level 4 autonomous vehicleIn Unreal Engine 4, created the foundation digital road design for vehicle testing simulations