Bryan De Oliveira
Staff Research Scientist at Hug Your Customer
Goiás, Brazil
Summary
👤
Senior🎓
Top SchoolBryan De Oliveira is a Staff Research Scientist with a decade of experience advancing deep reinforcement learning and agent-centered AI across industry and academia from Goiás, Brazil. He leads interdisciplinary teams at CEIA/AKCIT, turning PoCs into production-grade systems for finance, energy, tourism, and agribusiness while mentoring junior researchers. His work spans sim-to-real humanoid control, policy-gradient theory (GRPO/PPO), embodied LLM planning, and information-seeking dialogue agents, with multiple arXiv publications and industry collaborations. Bryan blends hands-on MLOps and scalable ML systems engineering—BigQuery, Ray RLlib, BentoML, Seldon, Kubernetes—with fundamental research on agency, curiosity, and offline RL. He’s driven by building generalist agents that learn from experience and has a track record of shipping applied RL solutions for debt collection, marketing personalization, and ad optimization. An oft-overlooked strength is his ability to bridge deep theoretical research and pragmatic deployment pipelines, enabling rapid translation from experiments to billable APIs.
10 years of coding experience
12 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Universidade Federal de Goiás
Portuguese, English
Stackoverflow
21reputation
514reached
1answer
1question
Github Skills (56)
unity3d10
reinforcement-learning9
python8
representation-learning8
pre-trained-model7
benchmark7
foundation-models6
nlp6
cpp6
php6
privacy6
natural-language-processing6
language-modeling6
vimeo-api6
large-scale6
Programming languages (9)
Github contributions (5)
bryanoliveira/xml2conll
Nov 2019 - Apr 2023
Contributions:1 release, 9 pushes, 1 branch in 3 years 5 months
PEQUI-MEC/PY-VSSS-INF
Aug 2018 - May 2019
Python implementation of IEEE Very Small Sizer Soccer by Pequi Mecânico: INF-UFG team version.
Contributions:120 commits, 83 PRs, 139 pushes in 8 months
python
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