Production AI/ML Systems for Complex Data Workflows
AI/ML systems that transform noisy, unstructured, multimodal, and time-dependent inputs into structured outputs for downstream products and decision workflows.
Portfolio
Retrieval and Reasoning Systems
Workflows that combine language models, retrieval, validation, tool execution, and structured actions across heterogeneous data sources.
Neural, Sensor, and Time-Series Modeling
Statistical modeling, deep learning, and signal-processing methods for noisy biological, neural, and sensor time-series data.
Computer Vision Retrieval for Production Search
Deep learning retrieval pipeline for person re-identification — 96% rank-1 accuracy, 33% revenue lift.
Bayesian Forecasting for Large-Scale Time-Series Data
Bayesian time-series forecasting model for national cell-tower traffic — 36% accuracy improvement over the production baseline.