Luis Zeni
PhD Candidate
Rio Grande do Sul, Brazil
Summary
👤
Senior🎓
Top SchoolLuis Zeni is a PhD-level Staff Data Scientist and Tech Lead with 11 years of experience building production-grade AI systems that bridge research and engineering. He specializes in end-to-end ML delivery—from raw data strategy and multi-GPU model training to optimized cloud and edge deployments—across domains like remote sensing, document intelligence, and real-time mobile vision. At TELUS and Serasa Experian he led teams to deploy scalable solutions (e.g., a churn-prevention NN and an LLM-based RAG that outperformed humans on billing decisions) and ran national-scale satellite pipelines processing tens of thousands of properties daily. His engineering-first background (C, Java, Python, JNI/NDK) underpins practical optimizations such as on-device LPR at near real-time and high-performance vision services in constrained environments. A former university instructor, he pairs academic rigor in computer vision with strong mentorship and architecture leadership, favoring pragmatic PoCs that become robust products. He’s driven by hard problems that require isolating core signals—recently exploring agentic LLM frameworks and real-time voice agents to extend AI beyond batch inference.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Federal University of Rio Grande do SulBachelor, Information systems, Bachelor, Information systems at UniRitter
Github Skills (5)
refinement8
deep-learning4
pytorch4
segmentation1
instance-segmentation1
Github contributions (5)
luiszeni/sibgrapi2018_gender_detection
Aug 2018 - Sep 2018
Contributions:49 commits, 37 pushes, 1 branch in 23 days
luiszeni/luiszeni.github.io
Jun 2018 - May 2020
Contributions:33 commits, 29 pushes, 1 branch in 1 year 11 months
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