Welcome to my personal and professional space.
I have always believed that the most innovative and human solutions arise from the dialogue between fields of knowledge often thought distant. My journey is fueled by a deep curiosity to decipher the logic and inner workings of two fascinating systems: computational architectures and the human mind.
That is why I dedicate my career and studies to the continuous integration of Software Engineering, Artificial Intelligence, Neuropsychology, and Behavioral Science.
I hold a solid track record in building enterprise-scale systems, agentic architectures, massive data pipelines, and predictive models. Over the years, I have actively engaged across diverse technology and higher education frontiers.
I serve as an AI consultant and technical architect designing enterprise-scale intelligence solutions for major B2B clients. My scope ranges from business problem formulation, feature engineering, neural networks, and classical predictive modeling (with rigorous statistical validation through ROC-AUC, F1-Score, and RMSE metrics), to designing GenAI systems, orchestrating autonomous agentic architectures, and implementing complex decision graphs with LangGraph, Python, and advanced RAG pipelines.
I lead development grounded in high-performance software engineering paradigms, applying Spec Driven Development (SDD), Domain-Driven Design (DDD), and Test-Driven Development (TDD) to guarantee resilient data contracts and rapid code synthesis. Concurrently, I implement end-to-end model lifecycle governance via MLOps, automated LLM-as-Judge evaluation frameworks, and continuous production monitoring (drift and latency tracking), pairing technical excellence with AI safety, risk mitigation, and strict data privacy compliance (LGPD).
I operated at the strategic intersection of educational technology, pedagogical enhancement, and behavioral science, developing data automation workflows in Python integrated via APIs with the TOTVS ERP ecosystem, transforming institutional records into analytical dashboards to guide executive leadership decision-making.
I spearheaded the internal deployment of LLM-powered tools for institutional diagnostics and automated technical documentation, unlocking substantial operational efficiency gains. In tandem with human governance, I directed faculty enablement programs focused on ethical, secure Artificial Intelligence adoption, privacy, and information security, while authoring and delivering seminars on leadership, ethics, and emotional intelligence for students, grounded in Behavioral Psychology and Neuropsychology.
Across nearly five years in the industrial automation sector at a German multinational, I built a solid international and multicultural track record in software engineering and artificial intelligence, with AWS serving as our primary cloud computing and engineering platform. As a Full Stack & AI Software Engineer, I architected and deployed enterprise solutions on AWS, integrating applications powered by LLMs (Azure OpenAI) under strict data governance and privacy boundaries for global corporate workflows, alongside engineering machine learning models and computer vision pipelines (incorporating Azure and Google OCR APIs) for high-throughput intelligent document classification and parsing.
On the application and cloud infrastructure layer, I led frontend engineering using React, Redux, and Webhooks, connected to scalable AWS cloud services (such as Lambda, Batch, Fargate, S3, Athena, DynamoDB, and SageMaker). I managed infrastructure provisioned as code (IaC) via Terraform with automated Docker CI/CD pipelines, actively mitigating security vulnerabilities across the full SDLC. Concurrently, I orchestrated high-volume enterprise data pipelines integrating SAP systems and Data Warehouses through Denodo Data Virtualization, while directing technical onboarding and mentoring for junior engineers and interns with an emphasis on agile principles and code craftsmanship.
I began this journey contributing to core data platform modernization, transitioning legacy Hadoop architectures into elastic serverless cloud environments on AWS. I engineered event-driven Full-Stack services in Python and JavaScript with AWS Lambda, built complex data models integrating SAP via Denodo, and automated Machine Learning workflows with Docker and version control on GitLab.
Founder and lead of an independent, volunteer initiative focused on software localization. Over a decade, I coordinated workflows across multidisciplinary teams of translators, reviewers, and editors, managing release lifecycles and volunteer collaboration. On the web architecture front, I led the development and maintenance of the project's web platform, migrating the front-end from React to Svelte for enhanced performance and implementing automated CI/CD pipelines on GitLab Pages.
In localization engineering, I worked in reverse engineering for script extraction and reinjection of localized assets into application files, alongside interface (UI) editing and asset processing to guarantee functional and aesthetic parity with original releases. In 2025, I planned and completed a structured leadership handover, transferring comprehensive project knowledge to new maintainers to ensure ongoing autonomous continuity.
Independent technical services focused on computer maintenance, system formatting, hardware diagnostics, and basic PC assembly.
Sharing knowledge and discussing the ethical and societal impact of technology is a central pillar of my work. I believe engineering and artificial intelligence find their greatest purpose through open dialogue with academia and society, encouraging critical inquiry into algorithmic responsibility and human agency.
Over the past several years, I have delivered keynotes, university lectures, and faculty enablement programs for students, educators, and technology leaders. In every session, I aim to connect computational rigor with behavioral science and neuroscience, fostering a multidisciplinary and ethically grounded perspective. Key lectures and broadcasts include:
A deep philosophical exploration of algorithmic ethics, the societal impact of AI, and preserving human essence in automated decisions, analyzing real-world case studies in Law, Medicine, and Public Policy.
Watch Keynote on YouTubeExamining the new competencies demanded in the era of generative AI, defensive security, and critical analytical thinking.
Actionable strategies for university faculty to integrate AI tools ethically and productively into modern learning environments.
Workshops focused on digital transformation, active learning methodologies, and modern pedagogical facilitation in academia.
My educational path was tailored to unite computational precision with the scientific study of human behavior:
My research explores clinical, neurobiological, and psychosocial interfaces, investigating how neuroplasticity, cognition, and contextual factors shape human experience:
A 101-session dense longitudinal precision functional mapping study tracking psilocybin connectomics via Affine-Invariant Riemannian Metrics: demonstrating acute transmodal axis contraction (Δ = −68.95%), long-term plastic rebound expansion (Δ = +250.66%), and pronounced transmodal asymmetry.
Investigation into the neural mechanisms of psilocybin in modulating thalamo-cortical circuits and 5-HT2A receptors to destabilize rigid cognitive attractor states and foster psychological flexibility in treatment-resistant conditions.
In-depth analysis grounded in Cognitive Behavioral Therapy on how chronic minority stress and objectifying dynamics shape maladaptive core schemas of unlovability, defectiveness, and helplessness.
Beyond code and predictive models, I engage in studio sound production as an independent bassist, composer, and music producer.
To me, music is one of humanity's most extraordinary expressions of intelligence. From a neuropsychological standpoint, performing and composing music represents one of the most complex behaviors the human nervous system can execute. Playing the bass demands razor-sharp real-time coordination: the auditory cortex processes harmony and intervals, the motor cortex and cerebellum drive sub-millimeter fingerstyle precision, while executive functions and working memory anticipate timing, manage dynamics, and sustain the groove. It is brain plasticity at its purest and most dynamic.
There is also a profound symmetry between software engineering and musical composition. On the bass, I build the foundation, the essential bridge transforming the drum's rhythmic pulse into the melodic harmony that drives the song. Every sustained root note or calculated silence acts like a clean line of code: shaping space, creating tension, providing resolution, and ensuring the entire musical architecture remains cohesive and powerful.
“Whether in the deep punch of rock and jazz tones, or in the precision of acoustic frequency sculpting and mixing in the DAW, music is my sanctuary where structural rigor, auditory sensitivity, and pure creative expression converge.”