SEAN RASSA

Electrical & Computer Engineering @ Drexel

🎓 EDUCATION

Drexel UniversityPhiladelphia, PA

B.S. Electrical Engineering
B.S. Computer Engineering
Expected June 2027

GPA4.00

Click a skill to light up everywhere I've used it.

Susquehanna International GroupBala Cynwyd, PA

FPGA Engineer Co-op 2Sep 2025 – Aug 2026

Established the team's Kubernetes infrastructure, including Docker image build pipelines, deployment manifests, and onboarding documentation to enable future containerized deployments
Migrated a lab machine monitoring system from a standalone server to Kubernetes, containerizing the MQTT broker and NGINX web server to track server configurations and prevent simultaneous FPGA programming
Contributed to migrating FPGA CI/CD pipelines from TeamCity to GitLab, designing template-based pipeline architecture, benchmarking VM resources, and deploying hardware regression machines
Consolidated two overlapping CAMs in the receive path into one, preserving host upload and downstream forwarding while reducing resource usage by 18%

FPGA Engineer Co-op 1Sep 2024 – Mar 2025

Upgraded an ethernet payload parser from 10G to 40G input and debugged in both simulation and hardware using custom tests with packet capture (PCAP) data, carrying the design through to a live production deployment
Refactored a precision time protocol (PTP) timestamping module to run on a new clock domain, resolving clock domain crossing (CDC) issues and verifying accuracy with hardware tests
Integrated a TCL script into the build flow to detect unconnected error signals and halt synthesis, ensuring consistent and scalable error propagation across designs

Woodward McCoach Inc.West Chester, PA

Software & Hardware Development EngineerSep 2023 – Mar 2024

Developed and characterized leak detection circuitry to be implemented in the company's next generation liquid-cooled server systems
Led the design of a flexible PCB for coolant leak detection and developed a functional prototype
Engineered microcontroller drivers in C and designed device logic to monitor for system faults and trigger emergency power-off functionalities in the case of a system failure
Implemented Python scripts for automated voltage change logging to optimize data collection and analysis during hardware testing

STAR Scholars ProgramPhiladelphia, PA

Research AssistantJun 2023 – Sep 2023

Worked closely with Dr. Joshua Agar to employ PLD and high-speed RHEED in a material science lab, advancing the real-time analysis of material growth through machine learning
Utilized PyTorch to develop a lightweight physics-constrained neural network to parameterize RHEED results faster and more accurately than traditional techniques
Employed HLS4ML to begin implementation of the neural network on an FPGA for real time control and adjustment of the testing devices