Applied Work
Projects
Twelve-plus projects turning reproduced research into deployable systems — from microcontroller-scale intrusion detection to federated diagnostic platforms.
Edge-NIDS: On-Device Intrusion Detection for IoT
A quantized CNN intrusion-detection model deployed to an ARM Cortex-M microcontroller for real-time IoT traffic monitoring without cloud connectivity.
FedDiagnose: Cross-Hospital Federated Diagnostic Modeling
A simulated multi-hospital federated learning platform for chest X-ray classification, keeping patient imaging data local to each institution.
ReproBench: Automated Paper Reproduction Scorecard
A tooling suite that runs reproduced model checkpoints against held-out benchmarks and auto-generates a comparison scorecard against reported paper results.
ClinSumm: LoRA-Tuned Clinical Note Summarizer
A parameter-efficient fine-tuned language model that summarizes de-identified clinical notes into structured, clinician-readable briefs.
ThreatEvolve: Continual Learning for Emerging Attack Classes
An intrusion-detection model that incorporates new attack categories over time using elastic weight consolidation, without retraining from scratch.
RadTriage: Vision-Language Zero-Shot Radiology Triage
A CLIP-style vision-language model fine-tuned on paired chest X-ray/report data for zero-shot urgency triage of incoming studies.