Anderson Silva is a software developer and data scientist based in Rio de Janeiro with 11 years of experience building R&D-driven solutions at the intersection of machine learning, GIS and energy analytics. Currently at Tecgraf/PUC‑Rio and pursuing a PhD in Informatics, he applies deep learning and survival analysis to real-world problems such as adaptive electricity consumption measurement and constrained consumer-grouping for meter reading. His background spans industry and research—from game logic and documented algorithmic code to integrated tools that connect GIS, SAP and simulation pipelines—demonstrating a knack for both prototypes and production-ready systems. Colleagues value his ability to translate complex constraints into automated grouping and parameter-estimation tools that reduce manual effort and improve accuracy. Known for a playful ambition on GitHub, he pairs academic rigor with pragmatic engineering to push AI from concept toward real operational impact.
11 years of coding experience
10 years of employment as a software developer
Pontifical Catholic University of Rio de Janeiro
Bachelor Computer Science, Bachelor Computer Science at UFMA - Universidade Federal do Maranhão
Technical Course Informatics, Technical Course Informatics at Federal Institute of Education, Science and Technology of Maranhão
Contributions:1 release, 8 pushes, 3 branches in 4 years 2 months
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