University Northridge Technology Intern

KIYAN HADDAD

West Hills, CA ***** • 818-***-**** • ******.*.*****@*****.***

EDUCATION

CALIFORNIA STATE UNIVERSITY NORTHRIDGE, Northridge, CA

Bachelor of Science in Computer Engineering, May 2020

Masters of Science in Computer Engineering, Estimated May 2024 Relevant Coursework: Advances Data Structures, Computer System Security, Computer Network Software, Operating Systems and System Architecture

SKILLS

Proficient in C/C++/C#, Java, Python,VHDL, Microsoft Word, IEEE and Microsoft Excel

Highly skillful with Object Oriented Design (OOD)

Proficient with making simple and scalable code

Expert user in Microsoft Word high use of IEEE format for engineering, coding and research reports

Excellent written & verbal communication, problem-solving, adaptability, flexibility and strong organizational skills.

EXPERIENCE

CASH IT QUICK, Reseda, CA

Information Technology Intern, January 2017 – February 2022

Monitored all IT, internet and hardware related issues.

Managed all day-to-day hardware, software and security issues.

Researched and implemented technological strategic solutions.

Performed routine backups to systems and licensing support. PROJECTS

HEAD TRAUMA DETECTION SYSTEM (Senior Project)

Language Used: C

Programmed with a team of five students a device able to detect possible head trauma.

Co-lead the design of the system specifications to assess the force impact on the skull based on acceleration & distance of impact.

DVD INVENTORY SYSTEM

Language Used: Java

Programmed a DVD Stores Inventory system that is used for managing all queries for the store, pull information of specific DVD, pull a list of all DVDs, add new DVDs and modify specific DVDs the ability to Order new DVDs, set up Deliveries, Sell DVDs and return DVDs

Simple and Scalable code is used so updating, adding or removing features can be made.

Upon quitting application a local/cloud file will be created and updated OBJECT DETECTION

Language Used: Python

Programmed using Python and Google Colab to create an Object Detection system that will put a box around and label the object it is looking at.

Used big Python packages such as PyTorch, OpenCV and YOLOv7 to use trained data and create trained data from scratch.

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