Armand A. Nasseri

Phone: 650-***-****; Email: adg0e3@r.postjobfree.com

GitHub: https://github.com/Armand42

LinkedIn: armandnasseri

Summary:

• Recent UC Davis graduate seeking junior level software development positions. Education:

• University of California, Davis January 2020

• B.S. Computer Science & Engineering

Certifications:

• ICCP Certified April 2019

Organizations:

• UC Davis computer science club 2016 - 2019

• Theta Xi STEM Fraternity 2018 - 2019

Technical Skills:

C++, Python, Java, Javascript/Node.js HTML/CSS, Bootstrap, JQuery, React.js, REST APIs Tools/Frameworks:

AWS Cloud, Linux, OpenCV, Tensorflow, Neural Networks, Git, Android/Visual Studio PROFESSIONAL EXPERIENCE

UC Davis Computer Vision Intern (1 year) September 2019 - Current

• Researching to create an augmented reality quadcopter gaming system that would consist of a game player, a quadcopter with a video camera, a computer, a touch controller, a virtual reality headset, and wireless communication links.

• Utilized the ZED SLAM API to establish video communication/localization to the Unity plugin for the virtual reality games built for the quadcopters. Google Capstone Project Apprenticeship (6 months) January 2019 - June 2019

• Worked in a team to create an Android application to help people with public speaking using Google’s speech-to-text API to track deviations from a user’s script.

• Developed the user’s settings as well as the audio and video UI for an interactive user experience.

AlienVault, Data Science Intern (1 year) June 2016 -August 2017

• Actively participated in strategic planning through the utilization of platforms in NetSuite and Salesforce.

• In addition, I developed supervised learning models for financial expenses and marketing strategies to be used within the Salesforce platform. ENGINEERING PROJECTS

Machine Learning - Fake News Detection (Python, Tensorflow, Neural Networks)

• Worked in a team to incorporate several machine learning and NLP algorithms to determine the legitimacy of online news articles using binary classification.

• Developed a script to apply SVM’s to 3 distinct NLP algorithms to determine optimal classification of dataset.

Warcraft II Web Server (Node.js, HTML/CSS, AWS)

• Web application to host the 1990’s video game Warcraft II. Utilized Node.js for back-end development and AWS for deployment.

Machine Learning - Motion Tracking Robot (Python, OpenCV, Embedded Systems)

• Utilized OpenCV and embedded systems to develop a robot that locks onto a provided target and proceeds to follow the relative motion of that target.

• Developed a script that used Convolutional Neural Networks for video classification of specific targets to follow.

Contact this candidate