Resume - Dr. Ramy Rady

Professional Summary

Hardware Engineer at Apple with expertise in RF integrated circuit design, silicon photonics, microwave photonics, and AI control systems. PhD in Electrical Engineering (Texas A&M, April 2024) with 8+ peer-reviewed publications. Proven track record of delivering innovative hardware solutions at Apple, Meta Reality Labs, Qualcomm, and Fraunhofer Institute. Specializes in designing high-performance electronic and photonic systems with machine learning optimization and GenAI-assisted engineering.

Education

Doctor of Philosophy (Ph.D.) in Electrical Engineering

Texas A&M University

April 2024

Dissertation: AI control systems and GenAI-assisted engineering for silicon photonic filters
Achievements: 10× faster tuning speeds, >40dB jammer rejection
Publications: 8+ peer-reviewed papers in top-tier journals and conferences

Bachelor of Science (B.S.) in Electrical Engineering

University

Graduated with Honors

Professional Experience

🍎 Hardware Engineer

Apple

2024–Present

Designing next-generation RF and photonic integrated circuits for advanced hardware platforms
Developing machine-learning-based control systems for adaptive hardware tuning
Leading cross-functional projects in silicon photonics and high-speed communication systems
Contributing to cutting-edge hardware innovation in Apple's product ecosystem

🥽 Photonics & Hardware Engineering Intern

Meta Reality Labs

2022–2023

Designed CMOS laser drivers and MEMS drivers for AR/VR photonic display systems
Developed automatic stabilization loops improving efficiency by 35% and achieving sub-microsecond response
Contributed to next-generation AR/VR hardware platforms with real-time control systems
Collaborated with cross-functional teams on photonic integration for wearable devices

📱 RF IC Design Engineering Intern

Qualcomm

2021

Designed RF integrated circuits for 5G wireless communication systems
Developed low-power RF transmitter architectures with switched-capacitor DC-DC converters
Optimized power efficiency achieving 70% power reduction in short-range wireless applications
Contributed to next-generation wireless SoC development

🔬 Integrated Circuits R&D Intern

Fraunhofer Institute

2020

Conducted research on high-speed optical receiver front-ends for data communication
Designed ultra-low-power CMOS circuits achieving 50% power savings
Developed novel circuit topologies for high-bandwidth optical receivers (100+ Gb/s)
Published research findings in peer-reviewed conferences

🎓 Graduate Research Assistant

Texas A&M University

2019–2024

Developed AI control systems for silicon photonic filters with reinforcement learning
Designed hybrid electronic-photonic mm-wave receivers for 5G/6G systems
Published 8+ papers in IEEE journals and conferences (JLT, TMTT, JSSC, ICP, RFIC, ISSCC)
Mentored undergraduate researchers on IC design projects

Technical Expertise

RF IC Design

mm-wave receivers, ultra-low-power transmitters, 5G/6G communication systems, CMOS circuit design for high-speed applications, IC tape-outs

Silicon Photonics & Microwave Photonics

Photonic filters, hybrid electronic-photonic architectures, microwave photonic systems, optical receivers, laser and MEMS drivers, system integration

AI Control Systems & GenAI-assisted Engineering

AI control systems, GenAI-assisted engineering, adaptive control, real-time tuning algorithms, reinforcement learning for circuits, automatic calibration systems

High-Speed Systems

100+ Gb/s data links, wideband communication platforms, ultra-low-latency processing, high-bandwidth architectures

Tools & Technologies

Cadence Virtuoso, ADS, HFSS, Lumerical, Python, MATLAB, Verilog, SPICE simulation, EM simulation, photonic simulation

Hardware Design

Analog/mixed-signal IC design, PCB design, system-level architecture, verification and testing, tape-out experience

Selected Publications

R. Rady et al., "Machine-Learning-Driven Automatic Tuning of Silicon Photonic Filters for High-Performance RF Signal Processing," IEEE Journal of Lightwave Technology, 2024
R. Rady et al., "Hybrid Electronic-Photonic Receiver Architectures for mm-Wave 5G Communication Systems," IEEE Transactions on Microwave Theory and Techniques, 2023
R. Rady et al., "Ultra-Low-Power CMOS Optical Receiver Front-Ends for High-Speed Data Links," IEEE Journal of Solid-State Circuits, 2023
R. Rady et al., "CMOS Laser Drivers for AR/VR Photonic Display Systems," IEEE International Solid-State Circuits Conference (ISSCC), 2023

View all publications →

Key Achievements

Developed AI control systems achieving 10× faster tuning speeds for silicon photonic filters
Designed automatic stabilization loops improving efficiency by 35% with sub-microsecond response time
Optimized power efficiency achieving 70% power reduction in short-range wireless applications
Achieved 50% power savings in ultra-low-power CMOS circuit designs
Published 8+ papers in top-tier IEEE journals and conferences
Successfully completed multiple IC tape-outs from concept to silicon