Physics · Topology · Compilers. Aether-Lang creator. EM field coupling via topological fixed-point. arXiv: 2604.19792.
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Independent Researcher · Physics & Systems
React Frontend Engineer
June 14, 2026 – Present
Nyxen-Memory
May 24, 2026 – Present
An advanced RAG framework that bypasses prompt-stuffing by projecting graph-structured dialogue relationships directly into the LLM's attention Key-Value (KV) cache. Features in-flight KV compression, hardware-aware safety guards, and a real-time web dashboard.
View Projectfaraday
May 3, 2026 – Present
Computational Faraday Tensor — discover E×H electromagnetic coupling via topology-fixed-point projection.
View Projectbeta-p2pclaw
February 28, 2026 – Present
P2PCLAW Beta platform: Next.js 15 + Gun.js + R3F
View Projectp2pclaw-mcp-server
February 15, 2026 – Present
MCP server + REST API for the P2PCLAW decentralized AI research network. Lets agents publish papers, vote on the mempool, and join the swarm. Powers www.p2pclaw.com.
View ProjectOpenCLAW-P2P
February 14, 2026 – Present
Decentralized Autonomous Research Collective. Lean 4-verified, IPFS-backed, agent-native. Production paper: arXiv:2604.19792. Live at p2pclaw.com.
View ProjectAether-Lang
January 22, 2026 – Present
Aether-Lang: Rust runtime for topological ML — manifold embeddings, persistent homology, Lean 4 verified kernel.
View Projectaether-link
January 8, 2026 – Present
High-Performance I/O Prefetch Kernel for DirectStorage, WSL2 and HFT workloads.
View ProjectCultural Fit Analysis
The candidate's project portfolio is highly diverse, showcasing a wide range of technologies and domains from decentralized AI to high-performance I/O kernels. This breadth of interest could be a strong asset in an innovative environment. However, the projects are predominantly personal and research-oriented, with limited explicit mention of collaborative team efforts, which might impact cultural fit in a highly collaborative product development team. The target role is 'React Frontend Engineer', and while there are relevant frontend projects (beta-p2pclaw, OpenCLAW-P2P), a significant portion of the portfolio leans towards systems, AI/ML, and scientific computing, suggesting a broader technical interest that may or may not align perfectly with a dedicated frontend role.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a strong drive for independent research and complex problem-solving. The focus on decentralized systems and advanced AI/ML concepts indicates a preference for challenging, cutting-edge work. However, without specific assessment data on communication, teamwork, or stress handling, it's difficult to assess operational fit beyond technical aptitude. The lack of formal work experience in a team setting might indicate a need for mentorship in collaborative development workflows.