Software Engineer Developer

Hamed Akhoundi

Software Engineer

+1-604-***-**** ad6yk5@r.postjobfree.com hamed-akhoundi

Highlights of Qualifications

• Enthusiastic, highly dependable and innovative software developer with 5 + years of extensive training and experience in object-oriented programming, algorithm design and network computing

• Collaborated with academic research teams and classmates to converge on optimal solutions

• Excelled in data pre-processing and implementation of machine learning algorithms Education

Ontario Tech University

Master of Electrical and Computer Engineering GPA: 3.8 Sep 2022 – Dec 2023

• Knowledge Discovery & Data Mining (A) • Real-Time Data Analytics IoT (A-) • Network Computing(A) Quality Management(A+) • Sensor Networks(A-) • Risk Analysis(A-) Azad University

Bachelor of Science in Computer Engineering, GPA: 3.1 Sep 2017 – Dec 2021

• Engineering Mathematics (19.5/20) • Software Engineering (20/20) • Internet Engineering (20/20)

• Electrical Circuits (19.5/20) • Database Laboratory (20/20) • Computer Networks Laboratory (20/20) Skills

Languages Java, Python, C, Go, JavaScript, HTML, CSS, SQL, alloy, jQuery, Django Networks Cloud computing, Internet of Things (IoT), Socket Programming Operating Systems Linux, Window, Mac OS

Others Cisco Packet Tracer, FLEX, LEX, Android programming, Trello, Ranorex Work Experience

Programmer/Web Designer, Nafis Rayaneh Company Aug 2021 - Nov 2021

- Enhanced and optimized the internal computer system database architecture through active learning and implementation.

- Gained practical expertise in diverse network protocols and socket programming through hands-on experience and experimentation.

Projects

AI-Based Agitation Detection System for Dementia Patients: I developed an AI system analyzing surveillance videos of dementia patients using OpenPose for skeleton detection. Trained ML models classify agitation behaviors, triggering alarms for timely intervention. Enhancing Food Safety: Disease Identification with CNNs: Employing Convolutional Neural Networks (CNNs) with varied architectures to discern between various diseases affecting food quality and safety.

Awards

• McDonald’s scholarship winner of Oshawa and Clarington Canada 2023

• Three times Ontario Tech busary reward winner in 2022 and 2023

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