Wajdan Ali
Engineer (Masters)🧑‍🎓| Hardware Design & Validation | Software Development | Embedded System, Robotics & IOT | Networking & CyberSecurity | AWS & AZURE Cloud | Programming | Power Electronic | Generative AI & CAD Tools
- Role
- Engineering Intern at Agility Technologies Inc
- Location
- Dallas, TX, US
- LinkedIn followers
- 500 followers
About Wajdan Ali
I am Wajdan Ali. Completed a Master’s degree in Electrical Engineering at Lamar University, Beaumont, TX. I have earned certifications in AWS Cloud, Microsoft Azure, Copilot/Generative AI, Robotics, MATLAB, and Cisco. Currently preparing for the Fundamentals of Engineering (FE) exam to pursue the EIT/PE track.Experience Highlights:• Engineering Internship at Agility Technologies Inc.• Engineering Internship at Johnson & Johnson.• Engineering Internship at PLC Construction Inc.• Internships at a Textile and Robotics manufacturing firm• Worked as a Senior Data Analyst at Cloud Innovators Solution• 7 years of teaching experience in technical and academic fieldsTechnical Skills:• Hardware & Design: AutoCAD, PSCAD, Altium Designer, PCB Design, Circuit Design & Validation• Programming & Software: C/C++, Python, MATLAB, LabVIEW, Java, VHDL, SQL• Systems & Applications: Digital Logic, Embedded Systems, Robotics, Power Systems, AI/ML/DL• Cloud & Security: AWS Cloud, Microsoft AZURE• Networking: VPC, Subnets, Routing, Security Groups, Load Balancing, Multi-AZ Design, VPN, TCP/IP, Network Security, FirewallsProjects & Achievements:• Built an IoT-based rover for exploration and navigation using sensor integration and an ESP32 programmed in C++ for real-time control.• Applied AI, computer vision, and cloud platforms for sensor data processing, object detection, and remote monitoring.• The project is funded by an organization and selected at the international session level.
Experience
Engineering Intern
Oct 2025 — Present · Houston, TX, US
Assisted senior engineers with CMOS digital/analog circuit analysis, RTL/Verilog validation, and UVM-based verification.• Performed hardware validation by using oscilloscope, DVM, logic analyzer, and AI-assisted data analysis tools for signal and performance.• Utilized C/C++, Python (NumPy, Pandas, Scikit-learn), and scripting for validation, data analysis, and ML-based performance monitoring.
Education
Lamar University
Master of Engineering - MEng, Electrical Engineering
Sir Syed University of Engineering & Technology (SSUET)
Bachelor of Science - BS, Electrical Engineering
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