Education
M.S. Electrical Engineering
Ohio State University
2024 - 2025
GPA: 4.0/4.0
B.S. Electrical Engineering
Ohio State University
2020 - 2024
GPA: 4.0/4.0
Industry Experience
* Designates Internship
R&D Engineer II, Hardware Design
Jul '25 - Present
Keysight Technologies
R&D Hardware Design*
Nov '23 - Aug '24
Keysight Technologies
- Designed active high-impedance to
50 Ω amplifying adapter for oscilloscope probes, utilizing an ASIC and leveraging existing designs - Developed firmware for aforementioned design, allowing control via Keysight's AutoProbe interface
- Characterized prototype, developing factory and user-facing calibration procedures
NPI Engineering*
May - Aug '23
Keysight Technologies
- Optimized test procedures for PXI synchronization modules, resulting in a improvement in unmanned test time
- Analyzed multi-year test backlog to determine failure root-cause in high complexity assemblies
Product Development*
May - Aug '22
Lake Shore Cryotronics
- Designed and evaluated high-impedance (
> 10 G Ω ) ultra-low-noise () JFET amplifiers for use as analog measurement frontends - Fabricated and used isolated preamplifiers to characterize sensitive analog systems
- Automated instrument characterization using Python
Academic Work Experience
Graduate Teaching Associate
2024 - 2025
OSU Dept. Engineering Education
Fundamentals of Engineering for Honors
- Instructed 2 sections of 36 students per semester
- Led rapid redesign of robot controller for academic use
Undergrad Teaching Assistant
2022 - 2024
OSU Dept. Engineering Education
Fundamentals of Engineering for Honors
- Engaged with students in ~6 hours of instruction per week
- Graded assignments and provided feedback to students
- Developed course content and materials for ~200 students per semester
Research Assistant
2021 - 2024
CDME @ OSU
- Leveraged GPU acceleration (NVIDIA CUDA C++) to develop rapid simulation backend for spray manufacturing processes
- Utilized ROS 2 to interface with Yaskawa Motoman industrial robots
- Employed computer and machine vision algorithms for pose estimation, object detection, and remote measurement
Skills
Discrete Design
Experience with schematic capture, PCB layout, prototyping and revision of various hardware designs
Discrete Electrical Simulation
Analog simulation of critical subcircuits and physical designs before or during prototyping
Integrated Design
Experience in 0.18
RRI constant- Opamp design, 28Gb/s PAM-4 SERDES system
Electrical Test & Measurement
Experienced in measurement design, execution, and analysis for a variety of electrical systems based on requirements (low-noise, high-speed, etc)
Programming Skills
Embedded
Low-level programming of microcontrollers and peripheral circuits
Parallel, GPU-Accelerated
Experience with parallelized programming techniques and use of hardware acceleration for high-performance applications
High-Level Automation/Scripting
Highly experienced with automated testing, characterization, and data analysis
Machine Learning
Use of standard classification, regression, and reinforcement learning techniques for data analysis and control
Deep Learning
Training and deployment of general-purpose neural networks and basic development of custom architectures
Classes Taken
A selection of relevant coursework
Computational EM II
Theory & implementation of MoM and FEM methods for quasi-static problems
Computational EM I
Theory & implementation of FDTD and FETD methods including boundary conditions
RF Systems
Design & analysis of end-to-end RF systems including modulation, noise, and link budgets
Antennas
Design and theory of antennas, including phased arrays
Passive Microwave Design
RF filters, couplers, and other passive structures
Active Microwave Design
(Primarily discrete) RF amplifiers and oscillators
High Speed I/O Design
SERDES systems with equalization
Data Converters
Design and theory of ADCs and DACs
Analog IC Design II
OTA design and compensation (rail-to-rail and multi-stage)
Analog IC Design I
Integrated fundamentals, basic & advanced current mirrors
Mixed-Signal VLSI
Advanced Digital Design
Use of HDLs to design FPGA and ASIC systems
IC Testing
Machine Learning
Theory and implementation of various ML models