Summary
Benjamin Torres is a machine learning engineer and computer scientist based in Mexico City with nine years of experience building production ML systems focused on deep learning and computer vision. He developed an image-element localization model used in document processing at unstructured.io and built image recognition and segmentation modules in R&D roles, demonstrating a strong track record from research to deployment. More recently he implemented data pipelines that integrate LLMs (OpenAI, Anthropic) and semantic deduplication using MinHash, plus web scraping at PersonalSoft for US-based clients. Trained at UNAM (BS and MS in Computer Science) and fluent in applied ML tooling, he blends academic rigor with practical engineering to turn visual and textual data into structured insights. An understated strength is his end-to-end experience across model development, inference libraries, and data engineering—making him effective at bridging prototype and production.
9 years of coding experience
4 years of employment as a software developer
Data Scientist with Python Track, Data science, Data Scientist with Python Track, Data science at Datacamp
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Universidad Nacional Autónoma de México (UNAM)
Bachelor of Computer Science, Computer Sciences, Bachelor of Computer Science, Computer Sciences at Sciences Faculty, UNAM
Master in Computer sciences., Computer sciences, Master in Computer sciences., Computer sciences at IIMAS,UNAM
German, Spanish, English