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Sovereign Mohawk Proto LLC
Frontend Developer
June 23, 2026 – Present
SovereignEdge-TEE-Agent
June 19, 2026 – Present
A Hardware-Secured, Post-Quantum Edge Agent Infrastructure with Zero-Copy Remote Offloading.
View ProjectMohawk-Inference-Engine
May 30, 2026 – Present
A lightweight, secure local inference and management engine featuring multi-device layer splitting, PQC-secured edge offloading, and high-concurrency session management.
View ProjectSovereign-Agentic-Prediction-Market-SAPM-on-Sui-Core
May 26, 2026 – Present
A high-performance prediction market aggregator, SAPM combines low-latency kernel-bypass networking with mathematical formal verification and Byzantine fault tolerance to deliver a resilient, quantum-resistant infrastructure for decentralized AI agents and predictive routing.
View Projectsmp-tee-runtime
May 26, 2026 – Present
A minimal, hardened Rust runtime for executing critical federated learning aggregation logic (e.g., Multi-Krum, Federated Averaging) entirely within hardware-enforced Trusted Execution Environments (TEEs) including AMD SEV-SNP, Intel SGX/TDX, and AWS Nitro Enclaves.
View ProjectSMIP-MWP-Rust
May 23, 2026 – Present
High-performance Rust datapath for SMIP-MWP. Zero-copy AF_XDP networking with integrated crypto (AES-256-GCM + ChaCha20-Poly1305), lock-free routing, and post-quantum key exchange. Engineered for maximum throughput and minimal latency on modern hardware.
View ProjectSMP_Novels
May 15, 2026 – Present
An AI-orchestrated interactive sci-fi narrative platform featuring secure WASM sandboxing for system programming challenges, real-time learning progress tracking, and Byzantine Fault Tolerant (BFT) governance voting.
View ProjectSovereign-Mohawk-Proto
February 10, 2026 – Present
High-scale Federated Learning (10M nodes) with formal BFT verification. Features 10ms zk-SNARKs and a 2026 PQC Overhaul: enforcing x25519-mlkem768 hybrid KEX, XMSS TPM-attestation, and epoch-based quantum-resistant ledger migration. Includes Go node agent + Python SDK v2.
View ProjectSovereign_Map_Federated_Learning
February 7, 2026 – Present
Sovereign Map is a production-grade, Byzantine-tolerant Federated Learning framework. Utilizing the Mohawk Protocol for streaming aggregation, it achieves a 224x memory reduction, enabling secure orchestration of 100M+ nodes via TPM 2.0 hardware-rooted trust. Features full-stack observability with Prometheus & Grafana, built-in tokenomics telemetry
View ProjectCultural Fit Analysis
The candidate's projects are overwhelmingly focused on highly specialized backend, systems, and security engineering, particularly in federated learning, blockchain, and trusted execution environments. While these demonstrate exceptional technical depth, they show a significant mismatch with the 'Frontend Developer' target role. The technologies listed (Rust, Go, Python, C++, low-level networking, formal verification) are primarily backend/systems-oriented, with JavaScript/TypeScript appearing but not as the primary focus or depth demonstrated. This indicates a potential cultural fit issue for a dedicated frontend role, as the candidate's demonstrated passion and expertise lie in a different domain.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong focus on complex, cutting-edge technical challenges, suggesting a high degree of problem-solving ability and a drive for innovation. However, without specific psychometric or English test results, it is difficult to assess communication clarity, work attitude, stress handling, or team collaboration directly. The project descriptions are highly technical and dense, which might indicate a preference for deep technical work over broader communication.