Built a customized QR code-like solution for a customer's internal management system.

Developed customer segmentation on a dataset of two million records for a large grocery store.

Designed and developed an algorithm to predict crime occurrence and firearm collection in a major city in Latin America.

Built a complete solution to automate entrances and exits at sports centers, using facial recognition technology.

Implemented an ETL pipeline from scratch to process the full-site database.

Designed and developed a customized matching algorithm that makes predictions two orders of magnitude faster.

Set up Apache Solr to complement the matching capabilities of my algorithm.

Mixed in-house algorithms with third-party services like IBM Watson to enhance matching results.

Followed coding best practices during Agile development cycles.

Developed an algorithm to identify passengers' entrances and exits for a nationwide transportation enterprise, thereby reducing losses by about 10%.

Applied object detection techniques to ensure quality in a product presentation for a nationwide food chain.

Implemented neural networks and classical computer vision approaches, using TensorFlow and OpenCV.

Developed fast-prototyped presentation demos within two to three weeks.

Worked with Agile methodologies and on-site source control to ensure confidentiality.

Designed an autonomous monitoring system that uses drones for surveillance in industrial complexes and buildings. Focused on providing a solution that's low price and easily replaceable.

Implemented raw GPS metrics on low-level interfaces and code to outperform conventional position measurements.

Developed a prototype that costs 70% less than similar solutions in the market.

Designed and implemented a complete initial prototype within one month.