AI researcher and agent systems engineer building autonomous research systems, bio-AI infrastructure, MCP tooling, and production-grade agent workflows.
I build systems where AI agents do useful work inside real engineering loops: retrieval, tool use, evaluation, observability, incident response, developer automation, genomics, DeFi, and research operations.
| Signal | Evidence |
|---|---|
| Public engineering footprint | 100+ public repositories across AI agents, genomics, MCP, developer tooling, and Web3 infrastructure |
| Scientific credibility | 3 peer-reviewed publications connected to ORCID 0000-0003-2268-053X |
| Production orientation | Full-stack apps, CI/CD review automation, incident-response agents, deployment recovery, and reusable app templates |
| Research-to-product range | Projects span literature-grounded research agents, genome copilots, variant effect prediction, and agent runtime infrastructure |
| If you are evaluating... | Start here |
|---|---|
| AI agent systems | Plato, FireClaw, Autonomous Agent Runbook Guard |
| Bio-AI and genomics | GenomeMCP, DeDNA, NexVar, ORCID publications |
| Production engineering | Autonomous Agent Runbook Guard, Awesome Codex App Template |
| Scientific research automation | Plato, GenomeMCP, peer-reviewed publications below |
| Live app review | Plato, DeDNA, NexVar |
| Area | Evidence |
|---|---|
| Autonomous agent systems | MCP servers, tool-using runtimes, orchestration loops, permissioned execution, and developer automation |
| Bio-AI and genomics | Genome query tooling, variant-risk interfaces, scientific workflow automation, and peer-reviewed publications |
| Production engineering | CI review agents, incident-response automation, deployment recovery, observability loops, and full-stack applications |
| Applied AI infrastructure | Retrieval, evaluation, model/tool routing, research copilots, Web3 agents, and secure execution workflows |
| Project | Focus | Why it matters | Proof |
|---|---|---|---|
| Plato Scientific Research Autonomous Agent | Multi-agent AI scientist | Converts experimental inputs into literature-grounded research workflows, reviewer loops, and publication-style outputs. | Live app |
| GenomeMCP | Genomics + MCP | Exposes ClinVar, gene, exon, intron, PubMed, and precision-medicine queries through an MCP interface. | Repo |
| Autonomous Agent Runbook Guard | Agentic DevOps | Automates incident response, deployment recovery, database-change review, and ticket updates with traceability. | Repo |
| FireClaw | Agent runtime research | Clean-room AI coding agent experiment across Mojo, Rust, and Python with MCP integration and permissioned tools. | Repo |
| DeDNA | Genome copilot | Interactive genomic visualization and variant-risk screening for AI-assisted genomic analysis. | Live demo |
| NexVar | Bio-AI application | Full-stack variant effect prediction experience around DNA language model workflows. | Live demo |
| Awesome Codex App Template | AI app starter | Production-oriented monorepo template for AI applications, mobile export setup, and app infrastructure. | Repo |
- Building agentic scientific research systems that combine literature retrieval, tool use, evaluator loops, and publication-style outputs.
- Expanding MCP-based genomics tooling for structured ClinVar, PubMed, and gene-query workflows.
- Improving production agent runbooks for incident response, deployment recovery, and code-review automation.
- Turning bio-AI research workflows into usable full-stack applications and recruiter-reviewable demos.
Research outputs connected to ORCID 0000-0003-2268-053X.
| Category | Skills |
|---|---|
| AI agents and research systems | MCP, FastMCP, tool orchestration, evaluator loops, retrieval, scientific workflow automation |
| Backend and APIs | Python, FastAPI, Node.js, TypeScript, JavaScript, Postgres, Supabase, Docker |
| Frontend and mobile | React, React Native, Expo, Tailwind CSS, NativeWind, TanStack Query, responsive product UI |
| AI/ML and scientific computing | PyTorch, bio-AI workflows, genomics tooling, variant analysis, research automation |
| 3D and interactive apps | Three.js, React Three Fiber, WebGL-style product experiences, interactive visualization |
| Cloud and deployment | AWS, Railway, Vercel, CI/CD, deployment recovery, production observability |
| Design and productivity | Figma, Photoshop, Microsoft Excel, Microsoft Word, technical documentation, research artifacts |
Start with the featured repositories above. Some public repositories are forks, research references, or upstream experiments used while building larger systems; the projects listed here are the clearest entry points for evaluating engineering depth.
For AI agent work, review Plato, Autonomous Agent Runbook Guard, and FireClaw. For scientific and genomics work, review GenomeMCP, DeDNA, NexVar, and the ORCID publications.
- Website: nex-t1.ai
- GitHub: github.com/Eldergenix
- ORCID: 0000-0003-2268-053X