Ahmed Sabry

Contact Information

Software Engineer
Feb 2023 – Jul 2025

Developed a real-time power and controls visualization dashboard using Chart.js, Angular, and Kafka.
Deployed a role-based access control (RBAC) system using Kubernetes and Istio, ensuring secure access management within a microservices architecture.
Built an adapter to integrate with GE ADMS and publish Bus Load Allocation (BLA) data to Kafka, improving data quality and optimization analysis convergence.
Conducted Minimum Viable Load Tests on the DERMS product, monitoring performance against customer NFRs with Grafana, ArgoCD, and Kiali to establish performance benchmarks.
Implemented high-availability architecture on the Optimization module to ensure fault tolerance and distributivity.
Built a centralized Docker Compose configuration leveraged across multiple teams, simplifying deployment and ensuring consistent environments organization-wide.
Trained a PyTorch neural network approximation of optimization algorithms, achieving faster performance while maintaining accuracy comparable to analytical solutions.
Led technical debt and team prioritization initiatives, enhancing system maintainability and development workflows.

Software Developer – Network Modelling
Oct 2022 – Feb 2023

Integrated network model import functionality into the DERMS Optimization application using Angular, Python, and Kafka as part of the GridOS ecosystem.
Developed an advanced Python framework for systematic validation and correction of power grid network models, improving efficiency and reducing manual intervention.
Optimized network model correction performance by 20% by analyzing and refactoring performance bottlenecks.
Built a powerflow comparison tool that calculates Voltage vs. Feeder Distance and Per-Phase Power statistics, comparing results between GE ADMS and the GridOS Optimization Engine.
Developed GitLab CI pipelines for formatting, testing, documenting, and deploying software to development environments, ensuring a streamlined and efficient development process.

Junior Application Developer
Aug 2022 – Oct 2022

Designed and implemented new features, focusing on the Mixture Computer Adaptive Testing (Mixture CAT) feature for the Cambian Coordinator app.
Transitioned the Mixture CAT feature implementation from a Java to Python, improving maintainability and functionality.
Collaborated with a third-party app design company to coordinate frontend development, ensuring desired features and functionality.

R&D Engineering Co-op
May 2021 – Aug 2021

Developed FPGA infrastructure to interface with external hardware (EEPROM, ADC, PLL) using VHDL and ModelSim ME.
Installed and serviced Welcoming Systems at customer locations across the Greater Vancouver Area.
Troubleshot circuit boards using oscilloscopes, multimeters, and soldering equipment.

Product Engineering Co-op
Jan 2021 – Apr 2021

Presented technical reports to mixed-signal engineers and product managers to highlight design defects of a repeater chip.
Built scripts to characterize the behavior of high-speed 16nm PCIe product prototypes for different Process-Voltage-Temperature (PVT) conditions using Python.

Electrical Test Engineering Co-op
Jun 2020 – Dec 2020

Created a test automation framework using C#, Java, and MATLAB that decreased manual testing time by up to 86%.
Developed MATLAB GUI applications to automate tests and decrease manual testing time by 70%.
Ran formal test protocols to validate manufacturing processes for the Globe® ablation system.

OMEGA Labs
Mar 2022 – Sept 2022

Designed a closed-loop temperature controller and an open-loop position controller on PCBs using EasyEDA.
Developed embedded software on an ESP32 to control PCB circuitry and interface with desktop applications and external devices.
Created C# desktop applications using the .NET Framework to control the temperature of a test fixture and to control the position of a linear stage with high accuracy.

Kenneth Chau Research Group
May 2019 – Sept 2019

Conducted research on methodologies to study the behavior and properties of light on anisotropic nanostructures using wave simulations and physically based rendering engines.
Applied electromagnetics knowledge on Lumerical’s FDTD Solutions to run electromagnetic wave simulations on complex nanostructures with distinct reflectance and transmittance spectra.
Created Java and C++ programs to perform simultaneous simulations and generate Bidirectional Spectral Distribution Functions (BSDFs) characterizing object physical appearance.

Master of Science in Data Science
Expected Graduation: Jun 2026

Bachelor of Applied Science in Electrical Engineering
Graduated: Jun 2022

Programming Languages: Python, R, JavaScript, TypeScript, C#, Java, MATLAB, C/C++, Verilog/VHDL
Frameworks & Libraries: Flask, Angular, PyTorch
Cloud & DevOps: Docker, Kubernetes, Helm, Istio, ArgoCD, Grafana, Jaeger, Git, CI/CD
Data Engineering & Databases: Kafka, PostgreSQL
Software: GE ADMS, LTSpice, EasyEDA, SolidWorks
Hardware: Arduino/ESP32, Oscilloscope, Soldering Iron
Domain Knowledge: Power Systems & Smart Grids, Electrical Engineering Fundamentals