Building product experiences at the intersection of user insight, business strategy, fintech, and AI.

Designed an AI-powered dispute workflow using NLP classification, logistic regression, threshold optimization, and workflow orchestration across 1M+ dispute records.

Achieved 64% automated triage at t1=0.055, with AUC 0.80 validation and a simulated $325M annual net value impact.

Built an end-to-end ML pipeline with synthetic data modeling, feature engineering, economic simulation, and product logic for operational decisioning.

Built a RAG-powered EV planning copilot using ChromaDB, SentenceTransformers, optimization algorithms, and a Streamlit prototype.

Delivered battery-aware charging recommendations that improved charging efficiency by 15 to 20% across modeled journeys.

Translated natural-language preferences into route-aware optimization, reducing trip planning friction by about 40% in the prototype experience.

Conducted $10B TAM analysis, competitive benchmarking, and KPI definition to evaluate monetization and positioning opportunities.

Developed feature concepts, engagement hypotheses, and roadmap prioritization tied to experimentation and growth planning.

Created an executive strategy deck on revenue potential, user experience trade-offs, and cross-functional decision support.

Built Random Forest and Logistic Regression models to identify operational risk patterns across structured enterprise datasets.

Validated model quality using ROC-AUC, precision-recall evaluation, cross-validation, and bias testing for reliable decision support.