Ploieşti, Prahova, Romania
My current work is the Deterministic Entropy Simulation Engine (DESE), a new category of entropy primitive that generates reproducible, platform‑independent entropy through deterministic simulation instead of hardware noise or traditional PRNGs. DESE combines deterministic execution with chaotic system dynamics, enabling entropy that is both operationally unpredictable and bit‑exact repayable via manifest‑based reconstruction. The engine is substrate‑agnostic (software, hardware, hybrid) and application‑agnostic (cryptography, integrity certification, procedural generation, AI training data, VFX, and scientific simulation). Identical schemas and initial conditions produce byte‑identical outputs across architectures, operating systems, and implementations, enabling cross‑platform verification, forensic replay, and compliance‑grade auditability. I am particularly interested in collaborations with semiconductor vendors, cloud providers, security platforms, and engine/tooling companies that need high‑integrity entropy, deterministic replay, and multi‑domain deployment at primitive level.
Genesis Cubical Computing Inc. is developing the Deterministic Entropy Simulation Engine (DESE), a new category of entropy generation primitive that replaces hardware‑bound randomness and traditional pseudorandom generators with deterministic, physics‑inspired simulation. Key responsibilities and achievements: Defined DESE as a deterministic yet chaotic entropy primitive that produces reproducible, platform‑independent entropy through simulated agent dynamics in spatial domains rather than through physical noise or DRBG constructions. Architected a manifest‑based replay system that records configuration, parameter evolution, and event structures, enabling third‑party verification, forensic analysis, and compliance audit without access to hardware entropy sources or secret keys. Specified multi‑substrate implementations (CPU, GPU, FPGA/ASIC, hybrid) that produce byte‑identical entropy streams and manifests across architectures, enabling scaling from embedded devices to data centers without divergence. Developed vertical embodiments for cryptographic keying and encryption, data and file integrity certification, streaming and batch pipelines, and multi‑tenant enterprise governance, all consuming the same core DESE primitive. Featured / Projects Deterministic Entropy Simulation Engine (DESE) Invented and implemented DESE, a deterministic entropy simulation engine that generates entropy from simulated physics rather than hardware noise, combining reproducibility, chaotic behavior, platform independence, and manifest‑based replay in a single primitive. DESE‑Based Data & File Integrity Certification Designed a certification pipeline where DESE‑driven, non‑uniform checkpoints and chain‑hashed manifests provide tamper‑evident integrity seals for files, folders, and drives, supporting replayable verification and scheduled re‑certification.