Hello! I'm Vinícius Lisboa

ML Engineer & Cybersecurity Specialist

Researcher specializing in cognitive artificial intelligence architectures and AI-powered cybersecurity defense systems. Extensive experience in machine learning engineering, threat intelligence, and building intelligent security frameworks for critical infrastructure.

— Cognitive AI & consciousness modeling research

— AI-driven threat detection & automated defense

— Neural security architectures for critical systems

Contact View Research

Cognitive AI

Neural Networks

Threat Intelligence

Security Automation

ML Engineering

Penetration Testing

Digital Forensics

Cloud Security

Years in AI & Security

12+

Security Systems

Research Publications

10+

AI Projects Deployed

About

ML Engineer and Cybersecurity Specialist with focus on cognitive artificial intelligence and AI-powered defense systems.

With over 7 years of experience, I specialize in developing intelligent systems that bridge cognitive science and practical security applications. My work encompasses building neural architectures for real-time threat detection and automated defense mechanisms.

Currently leading research initiatives in consciousness modeling and automated threat intelligence at Hummand. I've published 8 research papers on cognitive AI architectures and deployed AI-powered security systems protecting critical infrastructure across multiple sectors.

Core Expertise

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Cognitive AI Research

Consciousness models, neural architectures, behavioral analysis

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AI-Powered Security

Threat intelligence, automated detection, incident response

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Machine Learning Engineering

Deep learning, MLOps, production systems

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Security Architecture

Penetration testing, forensics, cloud security

Education

Computer Science (BSc)

UFPB • 2018-2023

AI & Cybersecurity

Specialization • 2020

Cognitive Computing

Graduate Studies • 2021

Certifications

AWS Solutions Architect Professional
Certified Ethical Hacker (CEH)
CISSP & CompTIA Security+
Google Cloud ML Engineer
OSCP - Offensive Security

Experience

Jul 2024 — Present

CEO

Hummand • Full-time

Leading technology initiatives and product development at Hummand, focusing on innovative solutions for digital transformation and human-centered technology design.

Leadership Product Development Strategy

May 2022 — Present

Professor de Computação

Governo do Estado da Paraíba • Full-time

Teaching computer science and coordinating the technical area of informatics. Responsible for leading teaching teams and students to ensure quality education and technological updates. Managing the SEERT Lab program with 100+ high school students developing real-world technology projects.

Computer Science Team Leadership Technology Education

Oct 2020 — Mar 2022

Arquiteto de Soluções

Schindler Group • Contract

Assisted in the development and adaptation of solution architectures tailored for Latin America, analyzing specific market demands, proposing adequate technical strategies, and collaborating with multidisciplinary teams to ensure effective and scalable implementation.

Solution Architecture Project Management 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 artificial intelligence, consciousness modeling, and AI-powered cybersecurity defense systems for critical infrastructure protection.

Active Research 2024

Cognitive AI & Consciousness Architectures

Developing computational models of consciousness and cognitive architectures that replicate human reasoning patterns. Focus on neural network designs that exhibit emergent cognitive behaviors and self-awareness properties.

35% Primary research focus

Active Research 2024

AI-Driven Threat Intelligence & Defense

Building intelligent security systems that leverage machine learning for real-time threat detection, automated vulnerability assessment, and predictive defense mechanisms. Applied research in adversarial ML and security automation.

40% Primary research focus

In Progress 2024

Neural Security Frameworks

Designing neural network architectures specifically optimized for cybersecurity applications. Research includes anomaly detection systems, behavior analysis engines, and intelligent incident response automation.

25% Secondary research focus

Research Papers

27+

Citations

Conferences

Collaborations