Portfolio

Marwan Abdelwahab

Computer Engineering Student | Embedded Systems, Cloud/Backend, and AI-Assisted Hardware Design

I am a Computer Engineering student at the University of South Florida with experience spanning embedded systems, mixed-signal hardware, backend/cloud development, and AI-assisted hardware design. My work ranges from real-time rocket engine data acquisition systems and custom PCB design to Azure-based multi-agent software systems and ASIC research workflows.

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About

I'm a Computer Engineering student at the University of South Florida graduating in May 2026. My background sits at the intersection of hardware and software, with hands-on experience in embedded firmware, PCB design, backend/cloud systems, and digital hardware design.

I currently serve as Electronics Team Lead for the Society of Aeronautics and Rocketry (SOAR), where I lead the development of data acquisition and control systems for a student-built liquid rocket engine. My work includes custom mixed-signal PCB design, embedded C++/RTOS firmware, sensor integration, and system-level validation.

I also conduct undergraduate research in the SEES Lab, where I work on AI-assisted hardware design automation. My recent work involves building benchmark datasets for RTL generation and verification, scripting ASIC flows, and evaluating power, performance, and area trade-offs using tools such as Yosys, OpenLane, and the Sky130 PDK.

In parallel, I contributed to a cloud-based multi-agent capstone project built on Microsoft Azure, where I worked on backend services, cloud integration, and agent-based system workflows for enterprise-style business processes.

I'm especially interested in roles spanning embedded systems, backend/cloud engineering, digital design, and systems-oriented software development.

Featured Projects

Recent engineering work across cloud systems, research, embedded hardware, and ASIC design.

Capstone Project — Cloud-Based AI Agent System

Azure AI Foundry, Azure OpenAI, Python, Backend Services, MCP

Built a cloud-based multi-agent AI system on Microsoft Azure as part of a senior capstone project developed with Microsoft guidance. The system orchestrates specialized agents and backend services to support enterprise-style workflows such as quote generation, purchase authorization, billing logic, inventory-related interactions, and admin operations.

Developed backend services in Python to process structured requests and support business workflow automation.
Implemented agent coordination patterns using Model Context Protocol concepts to enable communication between specialized components.
Worked within deployment, security, and budget constraints while collaborating in a multi-person engineering team.

Live demo: Demo available upon request.

https://contoso-admin-portal-17079.azurewebsites.net/

Note: The system is deployed on Azure and uses external APIs, so public access is restricted. I'm happy to walk through the system and demo it live.

Generative AI for Hardware Design

SEES Lab | Python, Verilog, Yosys, OpenLane, Sky130

Conduct undergraduate research on AI-assisted hardware design automation in the Secure, Efficient, and Evolvable Systems (SEES) Lab at USF. My work focuses on evaluating how large language models can support RTL generation, verification, and hardware design workflows through reproducible benchmarking and automated analysis.

Built hierarchical Verilog benchmark datasets covering multiple design types and complexity levels.
Developed Python workflows for automated verification, synthesis analysis, and extraction of PPA metrics.
Used Yosys, OpenLane, and Sky130-based flows to study timing, area, manufacturability, and design trade-offs.

SEES Lab research

Rocket Engine Data Acquisition System

SOAR | Teensy 4.1, C++, RTOS, LoRa, PCB Design, Mixed-Signal Systems

Lead the electronics and embedded systems development for a student-built liquid rocket engine project through the Society of Aeronautics and Rocketry. The system supports real-time sensing, telemetry, and control for engine testing, combining embedded firmware, custom hardware, and full-system integration.

Led redesign of the DAQ architecture to improve modularity, fault isolation, and serviceability.
Designed and debugged custom mixed-signal PCBs with improved grounding, decoupling, and power routing.
Developed RTOS-based embedded firmware for synchronized sensor acquisition and long-range telemetry.

Complete firmware (GitHub)

RISC-V SoC with ML Accelerator

Verilog, SystemVerilog, OpenLane, ASIC Design

Designed a single-cycle RISC-V processor and integrated a custom machine-learning accelerator for vector dot-product operations. This project strengthened my understanding of RTL design, verification, datapath/control integration, and physical design workflows.

Implemented datapath, control, ALU, decode, memory interface, and accelerator integration in Verilog.
Wrote SystemVerilog testbenches for functional verification and waveform-based debugging.
Ran synthesis, place-and-route, timing analysis, and generated a DRC/LVS-clean GDSII using OpenLane.

Earlier Projects

Additional coursework and learning projects.

Image Coming Soon

Blog Website

Built a full-stack blog application using Flask, SQLite, HTML, and CSS with support for user authentication, CRUD operations, and REST-style backend logic.

Calendar App

Built a Flutter mobile app during my internship to support internal employee workflows such as calendar viewing, notifications, and attendance-related interactions. This project helped strengthen my mobile development and API integration skills.

GitHub Snapshots

News App

Developed a Flutter-based news application that consumed external APIs, supported dynamic content refresh, and included theme switching. This project helped me practice mobile UI design and API-driven development.

Snapshots News app code

24×24 Bit CMOS Multiplier

VLSI layout project using CMOS and carry-save adders, with hierarchical design in Cadence Virtuoso and DRC/LVS validation.

Final report (PDF)

Resume

For a broader overview of my experience across embedded systems, cloud/backend work, research, and digital design, download my current resume below.

Download Resume

Contact

I'm always open to connecting about embedded systems, backend/cloud engineering, digital design, and research opportunities.

Email marwanabdelwahab09@gmail.com
LinkedIn linkedin.com/in/marwan-abdelwahab
GitHub github.com/Mar85562