Gabriel Amodeo Elbling

gelbling@nd.edu · gelbling10@gmail.com

Hi there! I am international student from Brazil studying Computer Science at the University of Notre Dame. I'm fascinated by the potential of technology and artificial intelligence/machine learning to revolutionize the world we live in. Scroll down to learn more about my background, experience, and projects!

Citizenships:

Work Experience

Software Development Engineer Intern

Amazon

Working on the Alexa Knowledge Team bringing you updates about your interests.

May 2024 - Present
Santa Barbara, California, United States · On-site

Artificial Intelligence & Machine Learning Engineer

Grupo Digicon

Developed an industry-grade occlusion-aware pose-estimation AI model using PyTorch, patent-pending for access control applications worldwide including in Tesla factories, yielding a 10% reduction in fraud incidents.
Created a project-specific custom dataset comprising of over 62k images, achieving 94% accuracy.
Pioneered the creation of a high-precision vehicle type detection AI model utilizing PyTorch, achieving a 95% accuracy rate, for the first automated highway toll system in Brazil.
Employed ONNX to export deployable and optimized models.

The Digicon Group, today made up of three operating companies (Digicon, Perto S.A. and Perto India) and several other non-operating companies, started its activities in 1977 manufacturing a single product: the Digital Position Indicator, which made it possible to make measurements with high accuracy. and resolution of microns (1 micron = one thousandth of a millimeter) and was installed on machine tools.

June 2023 - August 2023
Porto Alegre, Brazil

Software Engineer Intern

ASML

Developed an “Image Generator” Python module, which creates testing inputs (previously done manually) for a complex image processing algorithm. Streamlining the software testing pipeline/process by 50%
Built comprehensive “White Box” unit tests for each function and extensive documentation (with software design diagrams) for usage and future development.
Collaborated closely with an Optics Physics team to implement complex Linear Algebra algorithms using multidimensional matrices through the NumPy framework.
Presented and defended design considerations and proposals, project dependencies and results to senior engineers, architects and managers.

Founded in 1984, ASML is a Dutch company that designs and manufactures advanced semiconductor equipment, including lithography machines used to create microchips. As of 2021, ASML has a market share of over 80% in the worldwide market for semiconductor lithography equipment. In the same year, the company generated approximately 27 billion US dollars in revenue. The company is headquartered in Veldhoven, Netherlands, and employs more than 28,000 people globally.

June 2022 - August 2022
Veldhoven, Netherlands

Software Developer Intern

Zeeng - Data Driven Platform

Developed multiple data gathering engines using Python and the Scrapy framework.
Enabled the switch from outsourcing to in-house collection of all data from Brazil’s top news media and product review websites.
Created extensive databases using the Elasticsearch engine for the storage and quick retrieval of datapoints.

Zeeng, founded in 2016, is a Brazilian company that provides data-driven solutions for IT service management and business service management. The company's platform helps organizations to collect, analyze, and visualize data from multiple sources to improve IT and business operations. Zeeng's solutions can help businesses identify areas of improvement, optimize processes, and reduce costs by providing real-time insights and alerts.

May 2021 - August 2021
Porto Alegre, Brazil

Software Developer Intern

Digicon SA

Employed TensorFlow to create a more efficient and compatible training model for a multi-national tech company that profits $80M.
Developed algorithms and software for the person detection functionality of a new, high-tech turnstile that visualizes the user and automatically identifies multiple people simultaneously.
Executed a model with more than 5k training images which yielded a 97% detection accuracy.
Deployed in multiple access control products that are sold around the world such as the dFlow and the dGate.
Coordinated with two team members and presented work to senior project managers.

Digicon is a Brazilian company based in Porto Alegre that provides technology solutions (hardware & software) for various industries including parking, aerospace, transportation, access control, and security. The company was founded in 1977 and has grown to employ over 2,500 people. As of 2021, Digicon reported annual revenue of approximately R$500 million (around USD 94 million).

April 2020 - August 2020
Porto Alegre, Brazil

Software Developer Intern

MentorWorks Education Capital

Used Python and Bubble (web development tool) to developed three engines:

ISA Calculator: Developed algorithms implemented into a web based application which calculates how much a student would need to pay monthly and when their contract would be completed according to their inputted financial needs.
Resume Book: Programmed a web platform where students input their resume and personal information which then automatically allows them to be viewed by employers on the same application.
Job Opportunity Web Scraper: Created algorithms for an engine which extracts job opportunities from a companies website, such as Liberty Mutual and Microsoft, to be used in the Resume Book. The scraper extracts and sends information such as the job description and qualification requirements through an API.

These platforms are currently being used by students and were presented to investors which generated investment capitol for the startup.

MentorWorks Education Capital is a Boston-based Fintech venture that provides income-based financing to students in higher education, advanced certificate, and professional training programs through Income Share Agreements (ISAs). The company was founded in 2016 and aims to make quality education affordable and accessible to all students, regardless of their background

May 2019 - June 2019
Boston, USA