Tomás Lima is a Neuroscience PhD researcher and data scientist intern based in Prague, specializing in multimodal medical data fusion and deep learning for neuroscience applications like diagnosis, disease staging, and outcome prediction. With 12 years of experience across research and engineering roles, he blends academic rigor from his MEng in Medical Informatics with hands-on back-end development, having contributed to notable open-source projects such as OpenCTI connectors and IntelMQ by improving threat intelligence connectors and bot/database integrations. He is comfortable moving models from research to production-ready pipelines and has a particular knack for extracting signal from complex physiological datasets. Outside the lab he pursues trail running, avid reading, and learning Czech, reflecting a curiosity that fuels both his technical creativity and interdisciplinary collaborations.
12 years of coding experience
1 year of employment as a software developer
Master of Engineering - MEng, Medical Informatics, Master of Engineering - MEng, Medical Informatics at Universidade do Minho
IntelMQ is a solution for IT security teams for collecting and processing security feeds using a message queuing protocol.
Role in this project:
Back-end Developer
Contributions:1074 commits, 130 PRs, 293 pushes in 4 years 3 months
Contributions summary:Tomás primarily contributed to the back-end logic of the project, focusing on the development of various bot functionalities. The commits showcase the implementation of database interaction through a MongoDB bot and the creation of different expert bots. The user also worked on enhancing existing functionality by supporting multiple destination queues.
Contributions:3 reviews, 5 commits, 12 PRs in 1 month
Contributions summary:Tomás primarily contributed to the MISP connector, a component within the OpenCTI platform, enhancing its functionality and data handling capabilities. Their work involved fixing return issues, adding features such as report description attribute finding and the ability to handle regions, and adding the option to incorporate MISP tags as labels. These changes demonstrate their ability to integrate and extend the existing connector for improved threat intelligence data extraction and processing. They also developed a new enrichment connector.
mispctimitre-attackcybersecurityopencti
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.