Gabriel Mendonca is a Software Engineer based in Atlanta with 12 years of hands-on experience building production AI and data systems. He holds a BSc in Computer Science from Emory and refined his project-driven engineering skills at 42 São Paulo, where he completed intensive peer-led software projects. At Experian he moved from data science into Generative AI engineering, delivering end-to-end RAG pipelines and agent systems that surface insights from both structured and unstructured company databases. Now at Speedchain, he focuses on applying the latest generative frameworks to corporate-scale problems, having led the Munch AI project and won FlowGPT’s S1 Prompt Engineering Hackathon. He combines practical backend expertise (Python, PostgreSQL) with a taste for ambitious AI productization, and is especially strong at turning complex data sources into reliable retrieval and agent workflows. An unusual strength is his ability to bridge rigorous project-based learning with fast-paced enterprise delivery, making experimental models production-reliable.
12 years of coding experience
3 years of employment as a software developer
High School Diploma, International Baccalaureate (IB), High School Diploma, International Baccalaureate (IB) at St. Nicholas School
Bachelors, Computer Science, Bachelors, Computer Science at Emory University
Common-core, Computer Software Engineering, Common-core, Computer Software Engineering at 42 São Paulo
Contributions:19 pushes, 22 branches in 3 years 2 months
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