Projects
Systems, algorithms, and applied machine learning implementations.
Research Projects
Self-supervised temporal encoder trained on historical USGS streamgage data to detect precursor dynamics in environmental streamflows.
Backpressure-driven elastic feature windows for real-time ML streaming pipelines, designed to bound per-batch latency under variable ingestion load and evaluated against baseline streaming pipelines under a fixed test protocol.
Self-supervised masked autoencoder for detecting glacial lake outburst flood precursors from multispectral satellite time series, featuring a pre-registered falsification protocol and documented negative test bounds.
Applying topological deep learning and persistent homology computation to uncover collusion rings in financial transaction graphs across the Elliptic++ and IBM AMLworld benchmarks.
Engineering Systems
A five-agent intrusion detection and behavioral transaction analysis system built with Team Eigen Threat and evaluated live before financial sector leadership.
Stream-processing runtime utilizing adaptive windowing for anomaly detection, featuring PID controller variants, LOBSTER ticker evaluation, and nanosecond timestamp accuracy.
Continuous behavioral authentication system leveraging keystroke and mouse dynamics evaluated over a consented participant dataset.
Distributed communication framework for resilient peer-to-peer data coordination under intermittent network conditions.
Adaptive IIR filter design applying discrete Fourier transform and spectral decomposition algorithms to dynamic filtering challenges.