Cognitive Architecture for ML Monitoring (CAMA)
LLM-based agent framework for autonomous ML model monitoring in production environments
Portfolio
Scanflow: MLOps Framework
Production-grade MLOps framework for ML workflow management, debugging, and reliability 
TADIL: Task-Agnostic Domain Learning
Novel continual learning algorithm enabling 6% performance improvement across domains without task labels
3D RAG for Healthcare Documents
Cost-efficient document parsing and retrieval at Cotiviti: semantic, lexical and graph retrieval (1.5k docs for $0.5)
Press: Cotiviti
KC-Agent: Dual-Process Cognitive Architecture
A dual-process cognitive architecture for efficient ML model improvement, published at IEEE COMPSAC 2026
Paper: arXiv
Adaptive Prompt Evolution (APE)
Autonomous prompt evolution for continual learning in diabetic retinopathy detection: 99% storage reduction, 96.9% accuracy
Paper: Springer Nature
TADILER: Continual Learning for Medical Imaging
Experience replay and zero-shot clustering for continual learning in diabetic retinopathy detection, VISAPP 2025 Best Student Paper Award finalist
Paper: VISAPP 2025
Improver Agent
First ‘Improver’ agent for automated ML model updates at SUNAT customs: 65% less manual intervention, real-time fraud detection