Jason Stiltner

Staff Engineer

Research: multi-agent coordination, verifiable behavior, scalable oversight
Production: ML systems, cloud infrastructure, cross-platform integration

jason@jasonstiltner.com · GitHub · LinkedIn

Focus

Pre-linguistic coordination: how agents cooperate without shared language. Verifiable behavior grounded in observable actions rather than stated intentions.

Applied research with empirical validation. Production deployment.

Research

Grounded Commitment Learning

Multi-agent coordination via verifiable behavioral contracts. Applies Hart-Moore incomplete contract theory (Nobel 2016) to AI systems. Addresses scalable oversight through behavioral verification without internal state access.

36.8% hold-up reduction (95% CI: [28.4%, 45.2%]). Punishment paradox: r = -0.951, p < 0.001. 382 statistical tests, 6 theorems validated.

Document Understanding Pipeline

Production ML system with confidence-based routing across LLM providers. Human-in-the-loop for low-confidence outputs, RLHF for continuous improvement.

HIPAA-compliant architecture. Audit trails for all model decisions. Deployed at scale in healthcare.

Collaborative Nested Learning

Continual learning via multi-timescale optimization. +89% accuracy at high regularization. Pareto-dominant across retention-accuracy tradeoff.

Methods

  • Empirical validation. Rigorous experimental design with statistical controls. Effect sizes, confidence intervals, multiple hypothesis correction.
  • Formal foundations. Mathematical proofs where applicable. Convergence guarantees, conservation laws, contraction mappings.
  • Production deployment. Research that ships. CI/CD, test coverage, documentation, monitoring.
  • Infrastructure. GCP, Terraform, Docker. HIPAA-compliant architectures, multi-provider routing, edge deployment.

Additional Work

HALA: Pattern language for human-AI role allocation. 28 patterns for organizational deployment of AI systems. Addresses gap between technical capability and organizational adoption.

Full project list →

Background

M.A. Université de Paris VII (French-language graduate program)
Littérature, Langues, et Civilisations des Pays Anglophones

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