Systems built for regulatory gravity
Deploying production-grade AI models designed for high-stakes regulatory environments. Over twelve years of engineering resilient systems that translate complexity into clean, deterministic product architectures.
Building in the dark
We design software to survive conditions we cannot fully predict. By applying rigorous, first-principles systems engineering, we map order onto chaotic financial markets and complex compliance landscapes.
True architectural resilience requires balancing high-throughput data streams against strict regulatory constraints. We eliminate structural bottlenecks to ensure absolute data integrity under extreme operational pressure.
Resilient technical platforms
Aether RegTech Engine
Kepler-9 Risk Classifier
Real-time compliance engine leveraging custom LLMs to parse multi-jurisdictional regulatory updates. Reduces latency in policy adaptation from weeks to milliseconds.
Deep-learning anomaly detection pipeline processing high-velocity transaction data with zero-latency overhead. Built for high-stakes financial environments.
Stack: Python, Rust, LLMs, PostgreSQL
Stack: PyTorch, C++, Apache Kafka, Redis
Astrobiology Signal Pipeline
Chronos Drum Engine
Low-level hardware clock driver written in assembly to eliminate jitter in MIDI synchronization. Engineered for precise physical synthesizer performance.
Noise-filtering neural network designed to isolate weak biological signals from simulated extreme environments. Translating astrobiology principles to data pipelines.
Stack: Python, TensorFlow, NumPy, SciPy
Stack: C, ARM Assembly, FreeRTOS
Initiate system integration
12.5
Looking for high-agency leadership to navigate complex architectural challenges? Let's discuss system design, machine learning integration, or regulatory engineering.
A decade-long trajectory of engineering resilient product architectures across complex regulatory frameworks and machine learning deployments.