Brenno Henrique

Software Engineer · Applied AI & ML Researcher

About

I'm a Software Engineer bridging scalable backend systems and applied AI to deliver measurable impact. Currently building production systems at Livvie (Miami) and conducting NLP research at TAIL/UFPB.

My work spans three areas:

Applied AI — LLMs, RAG pipelines, NLP for social impact
Data Engineering — large-scale pipelines, AWS data lakes, Bronze/Silver/Gold architectures
Backend — Clean Architecture, performance optimization, distributed systems

Currently pursuing a B.Sc. in Data Science for Business at UFPB (2024–2027).

Research Interests

I'm drawn to the intersection of rigorous mathematics and real-world impact — the kind of problems where understanding the theory actually changes what you build.

Natural Language Processing — political bias in LLMs, rhetorical manipulation detection, low-resource language modeling. Language is messy and political; I like that.

Computer Vision — representation learning, geometric deep learning, how spatial structure emerges from optimization. The connection between convolution and translation equivariance still feels elegant every time.

Robotics — perception pipelines, sensor fusion, the feedback loop between physical systems and learned models. Where math meets the physical world most directly.

What ties these together is the math underneath. I find it genuinely fascinating how differential equations, symmetry groups, and information geometry keep showing up across seemingly unrelated fields — and how that understanding shapes better engineering decisions.

Physics is a constant reference point for me: not just as inspiration, but as a way of thinking about systems, constraints, and what it means for a model to actually understand something.