04/12/2026 updated

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Electronics and Communications Engineering Student

Cairo, Egypt Bachelor of Science in Electronics and Communications Engineering
Cairo, Egypt Bachelor of Science in Electronics and Communications Engineering

Profile attachments

Gamal_Ibrahim_CV.pdf

About me

I'm an Electronics and Communications Engineering graduate from the American University in Cairo (AUC), specializing in digital IC design, FPGA development, and RTL verification, with hands-on experience across the full hardware design and validation flow.

Very-Large-Scale IntegrationEmbedded SystemsField-Programmable Gate Array (FPGA)Hardware DesignMachine LearningCadence VirtuosoSystemVerilogVerilogHardware Acceleration
Technical Skills
I work with C/C++, Python, and MATLAB for hardware simulation, machine learning, and signal processing. My EDA toolset includes Questa Sim, Vivado, Quartus Prime, and Cadence Virtuoso, and I'm fluent in both Arabic and English.

Hardware & RTL Design
I've worked across multiple hardware abstraction levels. I designed a 4-bit ALU in Static CMOS and PTL with a Carry-Lookahead Adder and Barrel Shifter, verified in Cadence Virtuoso, and implemented a WiMax PHY Layer (QPSK channel coding, FEC, interleaving, modulation) with FPGA hardware validation. I modeled the DSP48A1 Xilinx DSP slice in behavioral Verilog, featuring a 5-stage configurable pipeline with cascade chaining and parameterized reset types. I also built a pipelined RV32IC RISC-V processor on a Nexys A7 FPGA, validated against official RISC-V compliance suites.

Machine Learning & Signal Processing
During a research internship at Sabancı University (Summer 2025), I built an FPGA-based RF Modulation Classifier — generating a novel APSK dataset, training a CNN on RadioML 2016.10A, and developing partial hardware acceleration on a RedPitaya FPGA for real-time inference. I also implemented full communication system chains, including AM, PCM, and 16-QAM TX/RX in simulation.

Embedded Systems
I built an autonomous line-following robot using an FSM-based MCU firmware and a bidirectional motor control system with two Arduino boards communicating over Ethernet.

Professional Experience
I interned as a NOC Back Office Engineer at Orange (Summer 2024), working on network architecture, mobile communications, and KPI monitoring. I'm an active IEEE organizing member at AUC and have held HR Head roles in two student associations. I was also a Finalist at the International Science and Engineering Fair (2021).

Languages

ArabicNative speakerEnglishFluent

Project history

Undergraduate Research Intern

Sabanci University

500-1000 team member

Assigned Project: FPGA-based RF Modulation Classifier
Tasks:
- Conducted extensive literature review and analysis under faculty supervision to build upon existing research in RF signal classification.
- Generated a novel APSK dataset and integrated it with the RadioML 2016.10A.
- Implemented a CNN-based modulation recognition system.
- Developed partial hardware acceleration on RedPitaya FPGA for real-time signal processing.
- Collaborated in a two-person team to produce a report, deliver presentations, and create a technical poster for final demonstration.

NOC Back Office Intern

Orange
Network architecture fundamentals, mobile communication basics, network configuration, and KPI monitoring

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