Real-World AI Deployments
From Fortune 500 manufacturers to healthcare innovators, these case studies demonstrate measurable impact through AI and data science.
Global Automotive OEMAI-Powered Material Planner Assistant
Integrated multiple data sources with advanced ML models for demand forecasting and a recommendation engine. Designed an intuitive dashboard with dynamic visualizations and scenario planning tools for a leading global automotive manufacturer.
Major Food Delivery PlatformSmartScale Order Verification
Implemented AI-powered weighing solution leveraging pre-trained ML models on AWS to automatically verify sealed order contents, reducing risk of missing or incomplete orders for a top-tier food delivery company.
Fortune 500 Steel ManufacturerProcess Optimization & Predictive Quality
Led data science projects for demand forecasting, statistical process control, predictive quality modeling, and overhead video-based characterization of flat-rolled steel at a Fortune 500 steelmaker.
Bayer HealthcareCTEPH AI Diagnostics — Global Digital Innovation Award
Designed and developed a CT Pulmonary Angiogram (CTPA) based AI detector for Chronic Thromboembolic Pulmonary Hypertension (CTEPH). Productionized on Google Cloud Platform and submitted for FDA 510(k) as a Class 2 medical device. Organized the global multi-center clinical data collection and associated trial.
Major Regional Health InsurerMedicaid Risk Stratification
Led insourcing of member identification and risk stratification, developing ML-based models for opioid abuse detection and care coordination optimization for a major regional health plan.
The Lancet / EClinicalMedicineBreath-Based COVID-19 Detection
Developed a breath-based COVID-19 detection method applying machine learning to Proton Transfer Reaction Time-of-Flight Mass Spectrometry (PTR-ToF-MS) data acquired from breath samples collected via silicon microreactors.
Journal of Fixed IncomeCorporate Bond Default Prediction with XGBoost
Co-authored peer-reviewed research using extreme gradient boosting (XGBoost) to predict 1-year corporate default probabilities. Trained on 1M+ monthly probability-of-default estimates with 50 input variables. Demonstrated effectiveness for relative value trading strategies in corporate bonds.
GuideAI HealthVision Transformer for Vascular Disease Detection
Built Vision Transformer technology for AI-driven early detection of chronic vascular disease. The platform automates detection in CT scans through advanced AI models, now operating as GuideAI Health.
Major Healthcare Learning PlatformAI-Powered Nurse Recruitment & LMS
As Chief AI Officer at a Google Cloud Premier Partner, built and delivered an AI-driven Learning Management System and job/resume matching service using BioClinical BERT (pre-ChatGPT era) for a leading healthcare education and recruitment platform serving nurses nationwide.
National Convenience Store ChainComputer Vision for Store Operations
Developed and deployed computer vision AI solutions for a major national convenience store chain with 1,000+ locations, automating operational processes and enhancing quality control through edge-deployed AI models.
Major Public UtilityAI-Powered Drone Inspection & Splice Detection
Architected an end-to-end computer vision labeling and vendor evaluation pipeline for automated infrastructure splice detection across transmission and distribution assets. Built custom ETL processes to extract drone-captured power line inspection imagery from enterprise databases (including Palantir Foundry) into structured ML training datasets. Implemented sophisticated data selection algorithms for balanced coverage of detection targets (foundations, splices, flashing, defects) and integrated AWS SageMaker Ground Truth for scalable annotation workflows. Developed evaluation pipelines comparing bounding box detection algorithms against human-consensus ground truth, and built POC pipelines using AWS Bedrock Vision Language Models (VLMs) for field asset detection.
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