Multi-Architecture Generative Content Studio — Deep Learning Capstone
PyTorchTransformersDiffusionGANsCNNsRNNs
A unified generative system that produces story text, scene illustrations, character portraits, and background music from a single prompt.
- Built a unified generative system producing story text, scene illustrations, character portraits, and background music from a single prompt.
- Integrated GPT-2, Stable Diffusion, StyleGAN2/3, VGG16/19, and LSTM into one cohesive pipeline.
- Fine-tuned GPT-2 for narrative generation, entity extraction, and structured scene descriptions; implemented Stable Diffusion with LoRA + ControlNet for composition-controlled scenes.
Tempo — AI Scheduling Assistant
FastAPIFlutterPostgreSQLLLM / NLPConstraint Optimization
A cross-platform AI scheduling app that generates, compares, and applies alternative day/week plans.
- Built a cross-platform scheduling app (Flutter front end, FastAPI back end) that generates alternative day/week plans, compares them, and applies the one the user picks.
- Designed a constraint-based scheduling engine that orders tasks, builds the daily timeline, resolves conflicts, and merges blocks into a coherent schedule.
- Engineered a scenario pipeline supporting generation, diff-based comparison, trade-off analysis, and undo/redo state management.
PSID Panel Dataset Analysis — Longitudinal Economics Project
PythonStatistical ModelingLongitudinal Analysis
A longitudinal analysis of a 17,000-observation PSID panel studying income and wealth dynamics.
- Analyzed a 17,000-observation PSID panel (1999–2023) to study income and wealth dynamics.
- Built the full pipeline: cleaning, transformation, feature engineering, regression modeling, and visualization.
- Found wealth roughly twice as unequal as income (wealth Gini ~0.85 vs income Gini ~0.45), with the median wealth-to-income ratio rising from 1.25 to 2.05 across the panel.
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Scientific Visualization Pipeline (ParaView) — Self-Directed
ParaViewparaview.simpleVTKNumPy
A fully Python-scripted ParaView pipeline for 3D scientific data visualization.
- Built a NumPy/VTK dataset (3D Gaussian concentration field + analytic ABC-flow velocity) and a fully Python-scripted ParaView pipeline (paraview.simple).
- Generated volume renderings, Contour isosurfaces, slices, and Stream Tracer streamline tubes, with automated figure and orbit-animation export.
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