About
About
About
RF Hardware Design Engineer. Researcher. Runner. Reader.
I am a Research Engineer with a focus on RF/microwave and mixed-signal hardware design — work that lives at the intersection of high-frequency circuit theory and buildable, measurable hardware. My background spans RFIC/MMIC design, RF front-end architecture, antenna-to-converter signal chains, and board-level integration across X/Ku/K/Ka/Q/V/W and lower-D bands.
What drives me most is the question of how machine learning can be made useful inside an RF design workflow — not as a replacement for engineering judgment, but as a force multiplier. I have explored surrogate modeling of RF design spaces, using sweep data to rank candidate topologies, detect simulation outliers, and generate repeatable verification summaries. The goal is always the same: reduce iteration time without removing the engineer from the loop.
I am pursuing a PhD in Electrical Engineering at Texas A&M University while working full time as an RF hardware engineer. My research sits at the convergence of machine learning and RFIC design — specifically how data-driven methods can accelerate the design-closure process for high-frequency integrated circuits, from topology selection through EM-verified layout.
Experience
Jul 2026 – Present
Rolling Meadows, IL
Principal Engineer, RF Microwave Design
Northrop Grumman
Develop RF/microwave and mixed-signal CCA/PCB hardware for high-performance wireless, sensing, and signal-chain platforms. Translate system requirements into RF budgets, schematic-ready circuit requirements, and measurable verification criteria across gain, NF, linearity, stability, and signal integrity.
Jan 2025 – Jun 2026
Baltimore, MD
Principal Circuit Design Engineer
Northrop Grumman
Executed RF/microwave, RFIC/MMIC, and mixed-signal block design from requirements through schematic, simulation, EM co-simulation, layout coordination, and design release. Closed RF trade studies around gain, NF, S11/S22, P1dB, OIP3/IP3, stability margin, and load-pull impedance.
May 2022 – Dec 2024
New York City Metropolitan Area
Electrical Engineer
Northrop Grumman
Designed and supported RF/mixed-signal circuit-card and test hardware for complex product platforms. Developed hardware-facing engineering software for instrument control, device communication, diagnostics, and regression checks.
Jan 2021 – May 2022
Lubbock, TX
Graduate Researcher
Texas Tech University
Conducted graduate research in RF/analog, mixed-signal, VLSI, and systems-oriented hardware analysis. Developed circuit and systems modeling workflows for transistor-level behavior, sequential logic, and finite-state-machine representation.
Education
Incoming — Fall 2026
College Station, TX
Doctor of Philosophy (PhD), Electrical Engineering
Research AreaMachine Learning & RFIC Design
Texas A&M University
August 2026
Baltimore, MD
Grade: Honors
Master of Science (MSc), Electrical & Computer Engineering
Research AreaRF Microwave Circuit Design
Johns Hopkins University — Whiting School of Engineering
FocusRF & Microwave Circuits, Power MMIC Design, High-Speed Analog IC Design
CourseworkRF & Microwave Circuits, Power MMIC Design, High-Speed Analog IC Design
May 2022
Lubbock, TX
Grade: A
Master of Engineering (MEng), Engineering
Texas Tech University — Whitacre College of Engineering
FocusElectrical Engineering & Computer Science
CourseworkVLSI Design, Digital Systems Testing, Microsystems, Data Structures & Algorithms
December 2020
Lubbock, TX
Grade: Magna Cum Laude
Bachelor of Science (BS), Mathematics
Texas Tech University
CourseworkCalculus, Linear Algebra, Differential Equations, Mathematical Statistics, Numerical Methods
Technical Skills
EDA / Simulation
Cadence Virtuoso, Spectre/ADE, Keysight ADS, HFSS, SPICE-based simulation, MATLAB, SKILL
Programming
Python, C, C++, Java, VHDL, Linux-based environments, data reduction, sweep automation, regression plotting
Methods
S-parameters, gain/NF, stability, compression, OIP3/IP3, load-pull, PVT/corner, Monte Carlo/mismatch, EM co-simulation, DRC/LVS-aware release, test readiness, measurement correlation
On Running
I ran competitively for years and had a good stint at it. I am washed up now — I will say that plainly — but I still train, still lace up, still find something clarifying about the discipline of it. Running taught me more about sustained effort and honest self-assessment than most things I have studied. I carry that with me.
Beyond the Lab
Outside of engineering I am drawn to philosophy, poetry, and the great thinkers of the Enlightenment. Kant, Hume, Voltaire, Rousseau — the project of grounding knowledge in reason rather than authority still feels urgent. I read poetry the way some people listen to music: for the compression of it, the way a good line holds more than it says. These interests are not separate from the technical work. They inform how I think about rigor, clarity, and what it means to actually understand something.