Professional RL engineer
Builds reinforcement-learning and AI workflows with an engineer's bias toward measurement, iteration, and production constraints.
AI profile
Rafael Brens
Professional reinforcement learning engineer, AI researcher, and human data evaluator building practical AI systems for real teams.
01
AI Engineer
Master of AI from SUNY Binghamton with a focus on applied machine intelligence.
I work at the intersection of reinforcement learning, model evaluation, AI research, and software execution.
AI focus
Practical AI research, engineered for production reality.
I help teams turn ambitious AI ideas into testable systems: reinforcement learning workflows, human-feedback evaluation, model behavior analysis, and agentic software that can be inspected, improved, and trusted.
- Reinforcement Learning Policy learning, reward design, model behavior, and feedback loops.
- AI Research Experimental thinking, literature-aware analysis, and applied prototyping.
- Human Data Evaluation Preference evaluation, quality review, and human-in-the-loop AI improvement.
Experience
A concise professional profile for AI teams.
AI researcher
Works across model evaluation, agent behavior, research synthesis, and applied experiments that move beyond surface-level demos.
Master of AI
Holds a master's degree in Artificial Intelligence from SUNY Binghamton, with a practical orientation toward building.
Evaluator for AI quality
Evaluates model outputs, compares reasoning quality, and helps convert human judgment into signal for better AI systems.
Partner at Brens Coding
Brens Coding is a software company for staff augmentation, connecting teams with AI, RL, data-evaluation, and software talent.
Principles
Strong AI work is not just model access. It is careful evaluation, clean systems thinking, and the discipline to make intelligence useful.
Rigorous evaluation
Production-minded research
Human judgment in the loop
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