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Projects
Projects across recommendation systems, autonomous learning, LLM evaluation, predictive analytics, and healthcare AI.
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Case Studies
01
Explainable booking intelligence for matching artists, venues, and local demand.
Deployed bidirectional booking intelligence across 4,002 artists, 250 venues, and 9,327 artist-event-venue relationships in 15 markets.
Explainable Recommendations / Data Engineering / Booking Intelligence
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Physics-based simulation and imitation learning for robust racing-line control.
Physics-based simulator and imitation-learning pipeline with behavior cloning, DAgger-style correction data, and zero-shot transfer testing.
Imitation Learning / DAgger / Robustness Testing
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Source-grounded equity research with explicit validation and deterministic fallbacks.
Structured equity-research workflow with source-quality checks, hallucination analysis, unsupported-claim detection, and deterministic fallback paths.
LLM Evaluation / Hallucination Analysis / Source Grounding
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AI-powered residential real estate prediction system for sale price and sale timing analysis.
Processed and engineered 200+ predictive features, evaluated observed outcomes, and translated recurring model failures into pricing insights.
Predictive Modeling / Real Estate Analytics / Sale Timing Analysis
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Machine-learning fraud decision support with a companion real-time risk monitoring layer.
Combined machine-learning fraud scoring and investigator routing with an event-driven companion layer for provider-level fraud and cyber risk alerts.
Fraud Detection / Decision Support / Responsible AI
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Risk-aware portfolio analytics workflow for benchmarking, simulation, and allocation analysis.
Portfolio analytics workflow covering Sharpe ratio, beta, drawdown, benchmark comparison, and Monte Carlo simulation.
Portfolio Optimization / Sharpe Ratio / Risk-Adjusted Returns
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Classification workflow for predicting perfect guest rating outcomes from listing features.
~0.815 validation ROC-AUC across structured and text-based listing features.
Classification / Feature Engineering / Model Evaluation
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Repeatable tournament automation framework for evaluating chess bot behavior and results.
Python tournament framework with move validation, PGN logging, JSON summaries, and repeatable bot evaluation.
Simulation / Performance Tracking