Welcome to my GitHub profile! I'm a highly motivated and detail-oriented Computer Engineering student with a passion for leveraging technology to solve real-world problems. Below, you'll find information about my education, work experience, projects, technical skills, and more.
- 🎓 Education:
- Masters of Science in Computer Engineering from California State University, Northridge (CSUN), Expected Graduation - May 2026.
- Bachelor of Science in Computer Engineering from California State University, Northridge (CSUN) with a GPA of 3.94, Graduation - May 2024.
- 🌟 Achievements: Dean's List from Fall 2022 to Fall 2023, Summa Cum Laude, Honor Student, Outstanding senior for the ECE department Award, Joe and Nancy Owens Engineering Annual Scholarship recipient (50% Scholarship from AUBH).
- 💼 Work Experience: Research Assistant at CSUN, Research Assistant at ARCS, AI Engineer at PM Accelerator, Data Analyst Intern at ConXtech, Teacher Assistant at CSUN, Data Analyst at Unipal, Marketing Intern at The Nourishers.
- 🏅 Extracurricular Activities: Member of IEEE-Eta Kappa Nu (IEEE-HKN) Honor Society, Member of The Honor Society of Phi Kappa Phi.
- Programming Languages: Python, Java, JavaFX, C, C++, HTML, CSS, VHDL, Verilog, System Verilog, Git.
- Software Tools: Arduino IDE, Microsoft Office, Figma, JIRA, Confluence, Azure DevOps, MATLAB, Multisim, Pspice, Google Colaboratory, Jupyter, Visual Studio, Visual Studio Code, Vivado.
- Hardware: ARM7 LPC2148 Board, Terasic DE10-Lite, Xilinx FPGA board, ESP32, SEEED.
- Database: MySQL, SQL, Exel, Microsoft Access, Power BI.
Smart Prosthetic Arm (C/C++)
- Integrated a foot controller using Bluetooth technology.
- Utilized wireless communication to connect foot controller microcontrollers.
- Published a research paper on the findings.
AES-128 Algorithm Implementation (SystemVerilog)
- Designed and coded the AES-128 algorithm focusing on efficiency and robustness.
- Aimed to provide secure encryption for various applications.
- Developed a machine learning model for early diagnosis using voice recordings.
- Utilized techniques to analyze and classify voice features indicative of Parkinson’s Disease.
- Published a research paper on the findings.
Lost and Found System (Java/JavaFX)
- Developed a user-friendly interface for reporting and claiming lost items.
- Implemented database functionality for efficient record management.
- Designed and implemented a traffic light system using VHDL and sensors.
- Developed algorithms to optimize traffic flow based on real-time sensor data.
- .Net Full Stack Foundation
- Six Sigma White Belt
- Udacity Future Work in Digital: Data Analysis
- Udacity Future Work in Digital: Web Development
- Udacity Full Stack Developer Track
📞 Phone: (424)-460-9975
✉️ Email: sarakhaled.kaz@gmail.com
