Computer Science Full-Stack Web

Alexander Hitt

**** ***** *** • Merced, CA ***** • *******@*****.*** • 1-209-***-****

Profile

A computer science college student passionate about solving difficult programming challenges. Skilled in Python, JavaScript, and C++. Eager to apply these skills to produce impactful products. Experience in a broad range of projects, including data visualizations, deep learning AI, AWS, front-end and back-end web development, and embedded controls.

Education

University of California, Merced Merced, CA

Bachelor’s in Computer Science & Engineering. Expected June 2024 Relevant Coursework: Database Management, Robotics, Computer Vision, Human-Computer Interaction Employment History

Intern, LearningTech.org San Carlos, CA September 2017 - May 2018

• Worked on a project team to deliver software demonstrations for middle school coding students.

• Conducted software QA testing of the web platform, managed bug database.

• Developed and presented a JavaScript marketing demonstration at a fair.

• Tutored middle school students in coding within a classroom setting. Technical Projects

Capstone Anomaleaf Project for, Omron Merced, CA February 2024 - May 2024

• Worked in a team to train a CNN to recognize anomalies in plant leaves.

• Used React Native, Flask, and FireBase to create a full-stack web application that allows users to take pictures of plant leaves for anomaly detection

• Trained and compared multiple different models using PyTorch, TensorFlow, and Keras libraries

• Improved network systems to enhance application performance. HackMerced (MLH 2020), UC Merced February 2020

• Worked with a team to develop a full-stack web application, winning first place in the sustainability category.

• Integrated technologies such as Radar.io GPS location, Amazon Alexa, Digital Ocean Droplets, MongoDB. AV8.AI Computer Vision Projects Merced, CA May 2020

• Worked with a team to develop an application using Python and JavaScript for object identification in images and videos.

• Utilized AWS Rekognition, Yolo object detection system, and OpenCV for object labeling.

• Trained an AI model to identify and label packages on a doorstep. 3D Video Game Development Merced, CA May 2016

• Created a JavaScript first-person shooter with projectile detection and 3D path-finding.

• Implemented enemy AI with path-finding algorithms and frame-by-frame hit detection. Skills & Interests

Technical: JavaScript, Python, C++, Java, Matlab, SQL, TensorFlow, Keras, Pytorch, AWS, Operating Systems: Linux, Ubuntu

Interests: Neural Networks, Machine Learning, GPTs, CNNs, Web Development, Embedded Control, Passion for playing and developing gamess.

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