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Mojtaba AlmadanMA
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Mojtaba Almadan

@mojtabaalmadan

Computer Engineer at Khonaini International Company Ltd. who replaced legacy asset tracking with an auditable Django system.

Saudi Arabia
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At Khonaini International Company Ltd., I designed, built, and deployed a Python, Django, and PostgreSQL asset management system that replaced legacy software and spreadsheets. It tracks assets, employee records, and custody assignments, with an auditable ledger and role-based access control.

At UAS2030, I collaborated with computer vision and machine learning specialists on a YOLO-based system for object identification, recognition, and tracking on an unmanned aircraft system. I integrated AI components into the mission pipeline and tested them across environments and scenarios.

On my Smart OBD-II project, I built an ESP32 device that reads live vehicle telemetry and raises real-time safety alerts. I’m pursuing an MSc in Internet of Things at KFUPM, where my studies include IoT platforms, edge computing, and telematics.

Experience

Work history, roles, and key accomplishments

KL
Current

Computer Engineer, Systems & Internal Tools

Khonaini International Company Ltd.

Jul 2023 - Present (3 years 4 months)

Designed, built and deployed a Python, Django and PostgreSQL asset management system that replaced legacy software and spreadsheets, tracking 684 assets, 933 employee records and 1,423 custody assignments. Modeled equipment custody as an append-only, auditable ledger with role-based access control for four user groups and two on-screen signatures on every transfer.

UA

AI Integration Engineer (Co-op)

UAS2030

Jun 2021 - Jan 2023 (1 year 7 months)

Collaborated with computer vision and ML specialists on a YOLO-based AI system for object identification, recognition and tracking on an unmanned aircraft system (UAS). Integrated the AI components into the UAS mission pipeline and tested them across environments and scenarios to find where detection degraded.

Education

Degrees, certifications, and relevant coursework

King Fahd University of Petroleum and Minerals logoKM

King Fahd University of Petroleum and Minerals

Master of Science, Internet of Things

Grade: 3.83/4.0

Pursuing a Master of Science in Internet of Things with an expected graduation in May 2027. Coursework includes IoT platforms, LPWAN, MQTT, LoRaWAN, Zigbee, edge computing, telematics, and industrial IoT.

King Fahd University of Petroleum and Minerals logoKM

King Fahd University of Petroleum and Minerals

Bachelor of Science, Computer Engineering

2017 - 2023

Activities and societies: Designed the team's machine learning model for the AUVSI SUAS student drone competition.

Bachelor of Science in Computer Engineering from 2017 to 2023. Coursework included computer architecture, digital design, microprocessors, operating systems, computer networks, and signal processing.

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