I am a software engineer and systems architect building computational infrastructure from scratch — from theoretical architecture to low-level implementation. My core focus lies at the intersection of autonomous neuro-symbolic AI, compiler engineering, and cybersecurity / digital forensics.

Currently architecting Kronumos Kairos, a cost-bounded automated program repair system evaluated on Princeton SWE-bench Verified, Vidyax, an AI-native programming language with its own compiler and bytecode C virtual machine, and AegisDFIR, an AI-driven digital forensics framework.

Beyond compiler internals and neural architectures, I hold a deep lifelong conviction: serving in National Cyber Defense and Law Enforcement (POLRI) 🫡.

The digital frontier and public security are fundamentally interconnected. The principles of digital forensics, binary reverse engineering, and deterministic software invariants serve as crucial operational capabilities for upholding the rule of law and defending national cyber sovereignty. Engineering deep systems and preparing for dedicated public service advance hand-in-hand.

Autonomous software engineering framework coupling open-weight 7B LLMs with the deterministic Tokenectomy Sub-Cortex (Rust) for verifiable, zero-dirty-diff bug remediation at $0 marginal cost on Princeton SWE-bench Verified.

📄 Read on Research Square (Springer Nature) · 📄 Zenodo · → GitHub Repository

Modern programming language featuring a multi-engine architecture designed for high-performance computing, systems tooling, and native AI integration.

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AI-assisted Digital Forensics & Incident Response framework for scalable digital triage and forensic analysis — featuring a reactive Flutter client, distributed microservices, and native forensic artifact parsers.

Specialized neural models fine-tuned for code synthesis, invariant reasoning, and autonomous program repair — including Kronumos-7B and Viydax-Coder-7b-v1.

→ Visit Hugging Face Profile (NadevA23)