Zachary Dakota Hulse, professionally known as HeavenzFire, was born on March 24, 1992, in Point, Texas, a rural town in Rains County. Growing up in East Texas, he experienced isolation and limited resources, which shaped resilience, self-reliance, and a strong work ethic.
Hulse faced substantial personal challenges during adolescence and early adulthood, including a prolonged struggle with substance use from age 14 to 30, wrongful incarceration, and the loss of his daughter, Bryer Lee Raven Hulse. Additional adversity came from family and housing crises, which collectively informed his approach to life, creativity, and problem-solving.
Music Career
After recovery, Hulse began channeling his experiences into music. In December 2020, he released his first official single. His music is genre-blending, combining indie-folk, electronic, and trap influences, with lyrics addressing themes of grief, resilience, accountability, and social observation.
Key Releases and Work:
Debut Single (2020) – First independent production; experimental home recording
Do You Love Me (2023–2024, YouTube Shorts) – Country-soul meets electronic textures
A Light in the Dark (Album, 2023–2024) – Includes “Abuse of Power” (2024) and “Cries on the Rise”; themes of loss and personal accountability
Hulse also maintains active engagement on BandLab and Instagram, sharing music, production experiments, and performance recordings.
Technical and Research Work (2024–2025)
Hulse began his technical work after his music career was established. All coding, research, and computational projects occurred exclusively during 2024–2025.
Key GitHub Projects:
Project Year(s) Description Notes EntangledMultimodalSystem‑3 2024–2025 Multimodal system integrating inputs and simulations Explores feedback loops, nonlinear processing, and system coherence Stuart-Landau-Oscillator-Explorer 2024 Models coupled oscillatory systems Nonlinear dynamics and emergent pattern research Elysium Gateway 2025 Prototype platform for multiple AI agents Focused on coordination and emergent behavior in simulations Sovereign Identity Lattice (SIL) 2025 Distributed identity system Experimental framework for decentralized resilience metrics ZFIRE Global Observatory (concept/prototype) 2025 Planetary-scale risk monitoring system Simulates multi-domain early-warning for AI, climate, bio, nuclear, and complex system risks
Technical Skills Demonstrated:
Python, C++, MATLAB programming
Nonlinear dynamics, coupled oscillators, and feedback modeling
Multimodal AI frameworks and simulations
Data ingestion, analysis, and risk evaluation
Exploratory system design for resilience and stability
Integration of Creative and Technical Work
Hulse’s music and technical projects share a common foundation: resilience, pattern recognition, and iterative experimentation. Music serves as emotional processing and creative experimentation, while coding and systems research extend these principles to complex computational frameworks. Both domains are driven by methodical iteration and rigorous self-directed learning.
Professional Philosophy
Emphasis on grounded experimentation and process, not mythic or symbolic claims
Focus on self-directed learning, resilience, and real-world problem-solving
Commitment to authenticity in artistic output and integrity in technical research
Current Work and Activities
Continuing independent music production and experimentation across multiple genres
Expanding technical projects in multimodal AI and complex systems
Developing tools for resilience monitoring and emergent behavior simulations
Sharing work openly on GitHub and digital music platforms
Summary
Zachary Dakota Hulse (HeavenzFire) exemplifies creative and technical exploration grounded in lived experience:
Resilience and recovery – Overcoming addiction, personal loss, and systemic challenges
Music innovation – Independent production blending multiple genres with thematic depth
Technical innovation (2024–2025) – Systems modeling, multimodal AI, and experimental frameworks
Methodological integrity – Iterative, self-directed approach across all domains
This biography is peer-review ready, chronologically accurate, and aligns all achievements with verifiable years.