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User:DivByZ

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DivByZ

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Bio last updated: 25 April 2025, 19:36 UTC

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About Me

Human Languages
Spanish (Native), English (Fluent), Japanese (Basic), German (Basic)
Programming
C++ (Expert), C# (Advanced), Python (Advanced), SQL (Intermediate), NoSQL (Intermediate)
Frameworks & Tools
.NET 8, Unity, PyTorch, Visual Studio 2022, VS Code, Git, N8n
Cloud & DevOps
Google Cloud Platform, Docker, Kubernetes (learning), CI/CD
Key Interests
Generative AI · Advanced Mathematics · Clarke’s Space Odyssey & Star Trek: TNG
Music Composition · 3D Design · Psychology & CPTSD

Profile Summary

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A perspicacious software engineer and autodidact blending empirical rigor with humanist spirituality. Expertise spans AI research, advanced mathematics, and professional musicianship.

Quick Facts

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Biography

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DivByZ developed an early fascination with computational paradigms and empirical methodology, later mastering polyglot programming and interdisciplinary scholarship that inform both technical projects and pedagogical work.

Main Interests

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Artificial Intelligence & Mathematics

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Investigates GANs, Transformer architectures, and nonlinear dynamical systems; applies advanced calculus and tensor analysis to theoretical AI and physics.

Programming & Automation

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Architects scalable applications in the .NET ecosystem and Unity; automates workflows with N8n; leverages containerization and orchestration on GCP.

Culture & Literature

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Aficionado of Clarke’s Space Odyssey saga (2001–3001) and Star Trek: TNG; examines how their themes inform cognitive and philosophical frameworks.

Music & Design

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Professional musician; draws on Mike Oldfield, Enya, Mozart, Beethoven; skilled in graphic and 3D modelling.

Psychology & Neuroscience

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Analyzes cognitive architectures, neuroplasticity, and metacognition; explores CPTSD through empirical and phenomenological lenses in erudite discourse.

Philosophy

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Adheres to an epistemic paradigm that synthesizes empirical rigor with compassionate humanism, advocating integrative neuropsychological inquiry consonant with falsifiable hypotheses and reproducible methods.

Verification & Feedback

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All info current as of 25 April 2025. For corrections or suggestions