
Backend Developer
He specializes in Full-stack development (Backend-heavy), primarily using Python with frameworks such as Django and Flask. On the frontend, he prefers working with React.js and TypeScript to deliver responsive and maintainable interfaces.
Known for his ability to navigate complex technical challenges, Carlos consistently delivers high-quality solutions that align with both business goals and technical requirements. Clients value his deep technical acumen, structured problem-solving approach, and clear communication across all project stages.
With a rare blend of academic rigor and practical industry experience, Carlos brings strategic insight and execution excellence to every project he undertakes.
Check Technologies is a payroll company with more than 150 000 endpoint clients.
Worked in the Tax team, focusing on full stack application doing tax management for SMBs.
Developed a report generator supporting multiple formats, maintained tax-related software systems, and optimized the performance of tax-related operations with thousands of entries.
Automated tax report submission to relevant agencies and developed public/private APIs
LEDS is a startup accelerator lab dedicated to transforming problems into solutions and innovative ideas into market-ready products.
Led the development of a project aimed at detecting and preventing bugs and diseases in strawberry crops using image recognition
Served as both Tech Lead and Engineering Manager, with a focus on backend functionalities.
Led the development of Pink Pepper Qualifier, a project designed to assess the quality of pepper crops using image analysis
Acted as both Senior Software Engineer and Engineering Manager.
Applied neural networks (mainly Yolact and MobileNet) in machine learning processes.
Led the development of Pink Pepper Qualifier, a project designed to assess the quality of pepper crops using image analysis
Acted as both Senior Software Engineer and Engineering Manager.
Applied neural networks (mainly Yolact and MobileNet) in machine learning processes.
Developed a tool to 'Predict and Screen Frequent Mental Disorders' in the general population, that assessed with +90% accuracy the chances of a person having a mental disorder.
Was responsible for applying ontologies, conceptual models and Machine Learning.
Experimented with several ML strategies, and final implementation went with classical ML algorithms, such as random forest.
Bizzdesign is a Dutch BPM SaaS platform vendor.
Developed an extension to BiZZdesign primary tool in order to incorporate extensions to the ArchiMate language in the tool.
Responsible for performing the ontological analysis of the language concepts, in which the Unified Foundational Ontology (UFO) was used. In charge of concepts later introduced to ArchiMate standard in v3.0
The work performed received an award at the 2015 EDOC international conference in Australia.
FEC company aims at transforming information into strategic assets.
1) that enabled transformation of data from siloed systems into knowledge graphs that were accessible for both data definition and data retrieval throughout the company
2) a tool for showing how new legislation impacted current legislation, structuring and organizing client's information in order to integrate data across the company.
Mogai Technologies develop innovative technological solutions that enable efficient enhancement of complex industrial processes. The only Latin America company listed by the world’s leading technology consultancy (Gartner) as a top provider for computer vision solutions.
Responsible for developing and maintaining a system for a Brazilian Transportation Agency, both frontend, and backend.
Built the project in C# and .NET and used MySQL for the main product.
Also maintained legacy systems, and other services where PostgreSQL was also used for databases.

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