Software engineer focused on distributed systems, cloud infrastructure, and AI.
Neural Network Observability (paper) A research paper on observability collapse in LLMs: simple probes on internal activations can catch confident errors that output monitoring misses, but only when architecture preserves the signal. Across 22 models in 7 families, architecture configuration predicts monitorability better than parameter count, making training design an upstream AI safety decision. Built with Python and PyTorch.
NxtChess (demo) Multiplayer chess platform with custom AI playstyles, anonymous play via shareable links, and OAuth 2.0 auth. Built with SolidJS, Go, PostgreSQL, Redis, and WebSockets.
Compass Autonomous agent architecture for real-time decision-making in a 3D MMORPG. Layered decision stack with GOAP planning, Monte Carlo robustness gating, Bayesian online learning, and JPS/A* pathfinding. Built with pure Python 3.14, zero external dependencies.
Material Type Prediction with WiFi/BLE Early wireless sensing experiment using commodity WiFi/BLE RSSI to detect objects and infer material class.
Carmichael, T. "Architecture Determines Observability in Transformers." Preprint, 2026. [DOI] [Zenodo] [PDF] [Code]
Dai, G., Paluri, P., Carmichael, T., Cheng, A., Miikkulainen, R. "Leveraging the Selfless Driving Model to Reduce Vehicular Network Congestion." IEEE Real-Time Systems Symposium (RTSS), 2019.
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