Leopoldo Zugasti Email & Phone Number

Portland, Oregon, United States

Montreal, Quebec, Canada

• Designed and deployed a full stack web application to provide a marketing team with access to critical data related to advertisement campaigns by making use of the Amazon API. Tech Stack: Laravel/PHP, React/Javascript.
• Led a transformative overhaul of a Front End, transitioning from jQuery to React within a span of 2 weeks. This transition resulted in a more responsive and maintainable user interface.
• Built a REST API using Laravel including a complete MySQL database design to manage ad campaigns using personalized data for each client, completely moving data from 290 excel files to cloud storage on AWS / MySQL.
• Improved loading times of an ecommerce dashboard by 10x by implementing an improved method of paging, indexing the necessary SQL tables and completely reworking the front end data filtering algorithm.

Montreal, Quebec, Canada

Aircraft Simulations, Unreal Engine, C++, Avionics, Garmin

Seattle, Washington, United States

• Contributed in the development of multiplayer functionality through C#, Unity’s Netcode for GameObject Package and Unity Relay service in order to synchronize the gameplay of up to 8 players at once, including.
• Developed Shaders (GLSL/HLSL) to generate shape highlights which improved the UX of 100% of test users.

Montreal, Quebec, Canada

• Designed and developed a full stack application helping ML engineers inspect datasets which simplified a multi step process into a single button press. Tech Stack: React, Laravel and GCP.
• Contributed in a project which provided 70% of necessary data points to train ML models through synthetically generated data, which improved model performance from 92% to 97% and reduced data acquisition costs by 50%.
• Designed and implemented an Object-Oriented solution to utilize ray tracing on a Synthetic Dataset generator within a Unity (C#/C++) simulation for Machine Learning purposes.
• Engaged in test driven development, sped up by nearly 1000x the execution of unit tests through compute shaders(GLSL/HLSL) by parallelizing the execution of image based tests.
• Fully automated the generation of 4000 fully path traced and ray traced images with pixel perfect annotations to assist the training of computer vision ML models with synthetic datasets.
• Leveraged my solution to attract a dozen potential customers by generating marketing content which was extensively used during the Computer Vision conference ”CVPR”. It was further utilized extensively in negotiations.

Bachelor'S Degree, Computer Science, 4.0

Bachelor'S Degree, Computer Science, 3.8

Associate'S Degree, Computer Science, 36.7 R Score

Obtained an award for the highest overall average within my year.