Renan Fonseca
Software Engineer Founder at IotMan.io
Venice, Veneto, Italy
Summary
👤
Senior🎓
Top SchoolRenan Fonseca is a versatile software engineer and founder with nine years of experience building data-driven backends, embedded systems, and full-stack products across startups and research labs. Currently leading IoTMan, he blends PostgreSQL, Python, Rust and C expertise with DevOps to deliver pragmatic, elegant solutions to complex problems. His background spans ML research (PhD and postdoc), production ML and data-science roles at TOTVS Labs, and back-end leadership at TriplePoint, enabling him to bridge research rigor with product delivery. An active civic-tech contributor, he helped extract and preprocess electoral data for the well-known Serenata de Amor project—demonstrating a habit of turning messy public data into actionable datasets. Based in Venice, he pairs academic depth in microelectronics and signal processing with hands-on experience in cloud deployment and real-time systems.
9 years of coding experience
8 years of employment as a software developer
Engineer's degree (BAC +5), Telecommunications Engineering/ Embedded Systems, Engineer's degree (BAC +5), Telecommunications Engineering/ Embedded Systems at National School of Computer Science and Applied Mathematics of GrenobleDoctor of Philosophy (Ph.D.), Microelectronic, Doctor of Philosophy (Ph.D.), Microelectronic at University of MontpellierComputer Engineering, Computer Engineering at Federal University of Rio Grande do Sul
French, Italian, English, Spanish, Portuguese
Stackoverflow
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0reached
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Github Skills (8)
data-extraction10
data-preprocessing10
pandas10
python10
data-analysis9
open-data9
machine-learning8
data-science8
Programming languages (5)
Github contributions (5)
okfn-brasil/serenata-de-amor
Mar 2017 - May 2017
🕵 Artificial Intelligence for social control of public administration | **This repository does not receive frequent updates. Check out the README**
Role in this project:
Data Scientist
Data ScientistContributions:13 commits, 1 PR, 20 comments in 1 month
Contributions summary:Renan primarily contributed to data extraction and preprocessing for a civic-tech project focused on analyzing public administration data. They developed a script in Python to download data from the TSE (Tribunal Superior Eleitoral) website, handle different file formats, and translate headers. This involved data cleaning, selection of relevant columns, and preparation of the dataset for further analysis within the Serenata project. The user's work facilitated the collection and transformation of crucial electoral data.
civic-techdata-scienceadministrationpoliticsartificial
rafonseca/rede-cedes
Oct 2017 - Apr 2020
Contributions:53 pushes, 1 branch, 1 comment in 2 years 6 months
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