University of Pennsylvania
BSE, Electrical Engineering and Computer Science
Accelerated MSE candidate, Electrical Engineering
3.99/4.00 GPA. HKN Honor Society, Wharton Hedge Fund Club (Quant), IEEE@Penn, and Engineering Deans’ Advisory Board Lead.
Electrical Engineering + Computer Science at Penn.
I build reliable hardware and the software and quantitative tools around it. My work spans digital design, embedded systems, PCB development, instrumentation, and statistical modeling. Currently, I’m a Hardware Reliability Engineering Intern at SpaceX and am exploring Summer 2027 opportunities in FPGA, hardware, and quantitative engineering.
Education
Selected work
All projects →Darwin ↗
Built a self-improving chess-engine system at the 2026 Point72 Cubist Systematic Strategies Hackathon, placing second. Each generation proposes multiple improvements, creates candidate engines in parallel, rejects invalid variants, and runs a round-robin tournament to select the next champion; a live dashboard streams games, brackets, and Elo updates.
Pipelined RISC-V Processor
Designed and verified a pipelined RV32IM processor in SystemVerilog. Implemented forwarding, hazard stalls, branch flushing, an eight-stage pipelined divider, and AXI4-Lite memory interfaces, then tested it with cocotb, Verilator, RISC-V ISA tests, and waveform debugging before deploying it to a Lattice ECP5 FPGA.
Thermal Treadmill ↗
Built a precision experimental platform to study thermotaxis in silicon microrobots. Custom PCB interfaces, real-time monitoring, and Python control of Keithley and PicoScope instruments enabled more than 300 hours of reproducible trials; Markov-chain and Monte Carlo models matched observed trajectories with over 80% agreement.
DAQDASH
Designed a four-layer telemetry and dashboard PCB for Penn Electric Racing, integrating CAN, SPI, and I²C communication. Took the board through schematic capture, layout, DFM review, mixed-signal simulation, firmware bring-up, and hardware validation alongside work on the BSPD, charger electronics, LTE integration, and board-level power systems.
Portable Graphene-FET DAQ
Developed portable data-acquisition hardware and an analysis pipeline for graphene-FET biosensors in the Charlie Johnson Group, making sensor experiments easier to run and analyze outside a conventional bench setup.
Hardware Reliability Analytics
Built an automated statistical reliability system around live hardware test data. The pipeline groups tests by serial number, handles censored observations and retests, fits Weibull failure models, and evaluates whether screening durations can be shortened without sacrificing failure-detection coverage.
Experience
SpaceX
Hardware Reliability Engineering Intern
Root-cause PCBA and system-level failures in mission-critical satellite hardware using schematic review, telemetry, oscilloscope measurements, and bench experiments. I also built a SQL and Python reliability system that fits Weibull models to live test data to evaluate environmental-screening duration and failure-detection coverage.
Miskin Lab, University of Pennsylvania
Microrobotics Researcher
Design experimental hardware, automate long-duration instrumented trials, and model stochastic motion for sub-millimeter silicon robots. Supported by a Penn Undergraduate Research Mentoring fellowship.
University of Pennsylvania
Teaching Assistant, Engineering Electromagnetics
Lead weekly recitations for more than 120 students and develop instructional material covering Maxwell’s equations, wave propagation, vector calculus, and structured engineering problem solving.
Penn Electric Racing
Electrical Hardware Design Engineer
Design and validate embedded, analog, and mixed-signal electronics for Penn’s Formula SAE electric race car, with an emphasis on telemetry, power, sensing, and reliable board bring-up.
Sync Labs
Full-Stack Engineering Intern
Owned product development for the startup’s first hardware MVP for elder-care occupancy monitoring. Connected mmWave sensors and embedded edge hardware to the backend, cloud, and client layers needed to stream and access live device data.
Charlie Johnson Group, University of Pennsylvania
Nanotechnology Researcher
Developed portable data-acquisition electronics and analysis software for graphene field-effect transistor biosensors, supporting more accessible and repeatable biosensing experiments.
Recognition & publications
Point72 Cubist Systematic Strategies Hackathon2nd place · 2026
$70 to Work, Teach, and Play with Sub-mm Robots ↗Co-author · UR 2026
Polypropylene-Derived Luminescent Carbon Dots ↗Co-author · ACS Materials Letters 2024
Penn Undergraduate Research Mentoring Fellow$5,000 research grant · 2025
IEEE MIT Undergraduate Research Technology ConferenceNJ Governor’s School research presenter · 2024
New Jersey Governor’s School in Engineering & TechnologyScholar · 2023
Rowan University Programming Contest1st place · 2023 & 2024
Technical toolkit
Digital designSystemVerilog, RTL, pipelining, finite-state machines, AXI4-Lite, cocotb, Verilator, FPGA synthesis
Programming & dataPython, C/C++, SQL, Java, JavaScript, Bash, NumPy, Pandas, Polars, PyVISA
HardwarePCB layout and schematic capture, Altium, Xpedition, SPICE, STM32, Raspberry Pi, CAN, SPI, I²C
Validation & modelingOscilloscopes, SourceMeters, PicoScope, SI/PI, probability, Monte Carlo, Markov chains, Weibull reliability