Hello! I'm Vinícius Lisboa

Machine Learning Engineer

Investigating the parallels between human and machine cognition—how artificial systems process information, learn, and behave. My research explores whether machines can develop consciousness-like properties, grounded in cognitive science, philosophy of mind, and computational theory.

— Comparative cognition: biological and artificial systems

— Theoretical foundations of machine consciousness

— Biomimetic architectures inspired by human cognition

Contact View Research

Cognitive AI

Machine Consciousness

Neural Architectures

Philosophy of Mind

Computational Psychology

Behavioral Analysis

ML Engineering

Biomimetic Systems

Years in ML & Cognitive AI

Research Publications

100+

Students Mentored

AI Systems Deployed

About

Machine Learning Engineer specializing in cognitive foundations of artificial intelligence, exploring the parallels between human and machine cognition.

My research investigates the phenomenological aspects of artificial qualia through computational modeling of integrated information theory. I study how artificial and biological systems process information, generate behaviors, and whether machines can develop consciousness-like properties—integrating philosophy of mind, cognitive psychology, and computer science.

My journey into cognitive AI began with biomimetic security systems—modeling the human immune system's adaptive pattern recognition. This led to deeper questions about consciousness, self-awareness, and the fundamental nature of intelligence in both biological and artificial systems.

Currently leading cognitive AI research initiatives at Hummand and teaching computer science for Governo do Estado da Paraíba. Through the SEERT Lab program, I mentor 100+ students exploring the intersection of consciousness theory and practical ML engineering. Published 12 research papers on cognitive architectures and deployed AI systems across educational and digital transformation projects.

Core Expertise

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Cognitive AI Research

Machine consciousness, qualia modeling, phenomenological aspects of AI

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Philosophy & Psychology Integration

Philosophy of mind, cognitive psychology, consciousness theory

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Machine Learning Engineering

Neural architectures, deep learning, cognitive systems development

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Biomimetic Systems

Bio-inspired architectures, adaptive systems, pattern recognition

Education

Computer Science (BSc)

UFPB • 2018-2023

Cognitive Computing

Graduate Studies • 2021

AI & Consciousness Research

Specialization • 2020

Certifications

AWS Solutions Architect Professional
Google Cloud ML Engineer
TensorFlow Developer Certificate
Certified Ethical Hacker (CEH)
OSCP - Offensive Security
CISSP

Note: My security expertise stems from early research in biomimetic defense systems—modeling the human immune system's adaptive pattern recognition. This work led to broader explorations of cognitive architectures and consciousness.

Experience

Jul 2024 — Present

CEO

Hummand • Full-time

Leading technology initiatives and product development focused on digital transformation and human-centered technology design. Applying cognitive AI research to educational systems and intelligent platforms.

Leadership Cognitive AI Digital Transformation

May 2022 — Present

Professor de Computação

Governo do Estado da Paraíba • Full-time

Teaching computer science and coordinating technical informatics programs. Leading cognitive AI research through SEERT Lab with 100+ high school students developing ML systems and exploring consciousness theory in practice.

Computer Science Cognitive AI Research Educational Technology

Oct 2020 — Mar 2022

Arquiteto de Soluções

Schindler Group • Contract

Developed solution architectures for Latin America, analyzing market demands and implementing scalable systems. Early work on biomimetic security systems inspired by adaptive biological defense mechanisms.

Solution Architecture Biomimetic Systems Latin America Market

Jan 2017 — Oct 2020

Analista de Dados Freelancer

Autônomo • Freelance

Performed independent services focused on data analysis to support strategic decisions based on data (Data-Driven Decision Making), including processing, cleaning, and organization of large volumes of information, as well as developing reports and dashboards.

Data Analysis Python Microsoft Power BI

Research

Focused research at the intersection of cognitive science, philosophy of mind, and computational theory—exploring whether artificial systems can develop consciousness-like properties.

Active Research 2024

Comparative Cognition & Machine Behavior

Investigating parallels in how biological and artificial systems process information, form patterns, and generate behaviors. My research explores whether computational architectures can exhibit consciousness-like properties—phenomenal awareness, self-reference, and emergent cognition.

40% Primary research focus

Active Research 2024

Philosophy & Cognitive Science in AI

Integrating philosophy of mind and cognitive psychology into ML engineering. I examine fundamental questions about intelligence, awareness, and the ethical implications of potentially conscious artificial systems through integrated information theory and qualia modeling.

35% Primary research focus

In Progress 2024

Biomimetic Systems & Applied Research

Developing AI architectures inspired by biological systems—from immune-system-based security mechanisms to neural processing models. Applications span educational technology, digital transformation, and intelligent system design grounded in cognitive principles.

25% Applied research focus

Research Papers

27+

Citations

Conferences

Collaborations