Open to opportunities

Yasser Mahmoud

@yassermahmoud

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Computer Vision Engineer and data-driven developer leveraging ML, IoT, and analytics to solve real-world problems.

Egypt

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What I'm looking for

I’m looking for a team where I can build and deploy AI/ML and computer vision solutions, turn data into clear dashboards, and work with real-world IoT systems—while continuously improving through research-driven iteration and collaboration.

I’m an Applied Computer Science graduate student with hands-on experience across software development, data analytics, and machine learning. I combine an Electrical Engineering foundation with research-focused, data-driven problem solving.

I’ve worked as a Computer Vision Engineer on live LPR camera systems, using computer vision techniques for real-time vehicle identification. I supported integration between edge devices and central monitoring systems, and deployed/validated solutions in production environments.

In research, I built automated data pipelines using Python (Pandas, NumPy, Matplotlib, Scikit-learn) and delivered results into Power BI dashboards. I also conducted machine learning modeling and time-series forecasting for policy research and publication.

I’m motivated by applied AI and measurable impact, from CNN-based brain tumor detection using MQTT and NodeRed to IoT solutions like water leak detection with Arduino and Python. I bring leadership and collaboration through roles like University Ambassador, and I’m always aiming to improve systems through experimentation, iteration, and learning.

Experience

Work history, roles, and key accomplishments

Research Intern

Butler Center for Research and Economic Development

Jan 2025 - May 2025 (4 months)

Retrieved and processed labor market data from BLS APIs using Python (Pandas, NumPy, Matplotlib, Scikit-learn) and built automated data transformation pipelines for Power BI dashboards. Trained machine learning models for time-series forecasting and supported 2 economic development projects with statistical reports and trend visualizations.

Python Pandas NumPy Matplotlib scikit learn Power BI BLS APIs Time Series Machine Learning Data Pipelines

Programmable Logic Control Intern

Visioneering Intralogistics

Aug 2022 - Oct 2022 (2 months)

Programmed and tested PLC code for automated conveyor and sorting systems in warehouse environments, and provided technical programming support to clients to ensure system functionality.

PLC Programming Industrial Automation Conveyors Automated Sorting Systems Systems Troubleshooting Technical Support Debugging Warehouse Automation

Education

Degrees, certifications, and relevant coursework

Columbus State University

Master of Science, Applied Computer Science

2023 - 2024

Activities and societies: University Ambassador; ACM member. Relevant coursework: Machine Learning (Python), Big Data (Azure), Cybersecurity, Data Visualization (Power BI), OOP (Java), Algorithms.

Completed a Master of Science in Computer Applied Science with coursework in machine learning, big data, cybersecurity, data visualization, and OOP. Performed research and applied AI/ML work through academic and graduate-level responsibilities.

The University of Memphis

Bachelor of Science, Electrical Engineering

2016 - 2020

Activities and societies: Global Friend member; IEEE member. Relevant coursework: C++, Java, MATLAB, MIPS, Electronics, Signals, Energy Conversion, Advanced Math.

Completed a Bachelor of Science in Electrical Engineering with coursework in programming and core engineering topics including signals, electronics, and energy conversion. Contributed through student leadership roles and engineering-focused learning.