Projects
Portfolio case studies across LLM systems, machine learning, evaluation workflows, and decision-support products.
Projects
Flagship systems first, then supporting work by problem shape.
This page focuses on case studies across document intelligence, finance, health-risk modeling, forecasting, pricing, evaluation systems, and workforce intelligence. Most projects link to public code, articles, or demos; selected private-code work is presented through public case studies and technical articles.
Each case study highlights the problem, the system choices, the outcome, and where to explore code, articles, or demos.
Start from the project overview, then follow article, demo, or repository links when you want more detail.
How to use the page
Start with the flagship systems, then browse by problem area.
The flagship set is the clearest signal for platform architecture, evaluation rigor, and operator-facing product work.
The supporting sections show adjacent systems across workforce intelligence, language workflows, decision support, and applied ML.
The page begins with platform and evaluation work, then moves into planning, decision support, and applied ML.
Use the badges to see what is available: live demo, article, repository, or public case study for private-code work.
Start here
Four flagship case studies that best represent the portfolio right now.
These are the strongest signals for platform architecture, evaluation discipline, and operator-facing product work.
Flagship case study
Creator AI Platform
Backend-first orchestration platform for AI-generated learning assets with quality gates, retrieval, and human review.
Flagship case study
Intelligent Content Analyzer
Document upload, retrieval, generation, and evaluation decomposed into a service-oriented product stack.
Flagship case study
ArtifactBench AI Evaluation Workbench
Artifact evaluation workbench for AI-generated decks, learning assets, PDFs, and code bundles using retrieval, provenance checks, and judge-assisted scoring.
Flagship case study
AI Portfolio Advisory System
Foundation-model risk profiling and objective-aware portfolio optimization in one advisory surface.
Supporting 3
Three supporting systems that add depth around current platform, evaluation, and knowledge-work themes.
These systems show how the same engineering themes carry into workforce intelligence, prompt optimization, and enterprise RAG.
Supporting case study
Workforce Risk Intelligence Prototype
Public-signal intelligence workflow for workforce-risk monitoring, retrenchment forecasting, and operator dashboards.
Supporting case study
DSPy Automotive Extractor
Prompt optimization turned into a measured engineering loop with structured evaluation and local inference.
Supporting case study
Custom RAG Engine for Enterprise QA
Enterprise document QA built for privacy, local deployment, and mixed code-plus-text retrieval.
Supporting platform and language systems
Additional platform and language systems beyond the flagship and supporting sets.
Platform system
Learning Personalization Engine
Learning-event normalization, mastery tracing, and recommendation review built from platform evidence.
Platform system
Earnings Report Intelligence Platform
Financial earnings report intelligence using traditional NLP and transformer-based analysis.
Platform system
YouTube Sentiment Analysis Platform
YouTube comment intelligence with transformer-powered sentiment analysis at production scale.
Decision systems and planning
Forecasting, optimization, and decision support tied to action beyond the top set.
Decision support
Longevity Lab Health Scenario Platform
Public-health scenario modeling with data provenance, artifact-backed scoring, model cards, and causal-analysis boundaries.
Decision support
Dengue Forecasting and Intervention Economics
Time-series forecasting and health economics for intervention planning.
Decision support
Agentive Inventory Management System
Forecast-driven inventory planning with approvals, budget guardrails, and auditability.
Decision support
Retail Price Optimization for CS Tay
Segmentation, price elasticity, and commercial strategy analysis for revenue optimization.
Applied ML studies
Modeling work that broadens the range of the portfolio further.
Applied ML
Elliptic Graph ML for Illicit Transaction Detection
Leakage-safe graph learning for illicit transaction detection with operational evaluation metrics.
Applied ML
ML Trading Strategist
Algorithmic trading across rule-based, tree-ensemble, and reinforcement learning approaches.
Applied ML
HDB Resale Price Predictor
Regression modeling for Singapore public housing price behavior.
Applied ML
Wet-Bulb Temperature Analysis for Singapore
Climate resilience analysis through wet-bulb temperature modeling and heat-stress interpretation.
Next step
Each project page links deeper into code, articles, and demos where available.
Use each project page for the quickest read on what was built, why it matters, and where to explore the article, code, or demo when available.
