Software Engineer focused on deterministic systems, multi-agent architectures, and production-grade backend and AI systems.
I build systems where:
- Outputs are reproducible
- Failures are traceable
- Automation is controlled and reliable
- Design deterministic systems with clear execution guarantees
- Build structured multi-agent workflows (analysis → reasoning → action → validation)
- Develop backend and AI systems that are debuggable and production-ready
Currently working across:
→ AI systems (LLM workflows, agent orchestration, evaluation)
→ Blockchain systems (smart contracts, infra, trading systems)
→ Distributed systems + automation tooling
Actively contributing to:
- AI infrastructure (LLM tooling, agents, evaluation systems)
- Blockchain systems (smart contracts, tooling, infra)
- Backend infrastructure and developer tooling
Approach:
→ consistent, high-frequency contributions
→ focus on real issues that get merged
- Deterministic > unpredictable
- Evidence-based > assumption-driven
- Systems > scripts
- Debuggable > opaque
Languages: Python · TypeScript · JavaScript · Rust · Solidity
Core Areas:
- Backend systems
- AI systems (LLMs, agent workflows, evaluation)
- CI/CD tooling
- Distributed systems
- Blockchain / Web3
- Remote software engineering roles
- Work involving AI systems, backend infrastructure, or blockchain
- Teams building production-grade systems