All Projects

Every project across work, personal exploration, and research. Filter by category or browse all.

Personal

AI-Assisted Resume Tailoring

Web app that stores your experience and job applications, then uses a local LLM to generate a tailored resume and cover letter for each position.

Personal · 2025
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Personal

After-Renovation Value (ARV) Predictor

ML model predicting post-renovation home value from Ames, Iowa housing data. Motivated by a contractor friend's need to estimate ARV before committing to a renovation.

Personal · 2025 · WIP
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Work

Graph-Based Material History

Represented ceramic manufacturing histories as directed graphs to capture formulation transformations across production steps. Built core graph logic, then an interactive researcher app on top — saves ~30 min of manual calculations per query.

Jun–Dec 2024 & May–Aug 2025
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Work

Semantic Segmentation for Ceramic Parts

Deep learning pipeline to geometrically analyze ceramic parts at spec, green, and fired stages. Enables pixel-level geometric measurement without manual inspection — 95% faster data collection.

Jun 2024 – Aug 2025
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Work

Internal RAG Chatbot

Agentic chatbot connecting CoorsTek R&D engineers to their data. Zero to first deployment in 2 months. 95+% agent reliability. 10× faster data retrieval. Established LLMOps evaluation SOPs company-wide.

May–Aug 2025 & Jan–Mar 2026
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Work

Discoloration Defect Detection

Production CV system for automated quality control at CoorsTek's manufacturing group. Improved accuracy from ~80% to ~98% by fixing data quality issues and improving the model development procedure.

Jan–Mar 2026
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Research

The Economics of AI R&D in Waste Management Applications

An economic model of a waste managing firm's R&D investment in AI solutions. Models a firm's profit maximization function incorporating AI technology costs and benefits. Currently under review at Waste Management.

Under Review
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Research

An Analysis of an Intellectual Property Rights Based Subsidy

Identifies a novel subsidy type that brings privately optimal R&D levels into balance with social optimum. Compares it to traditional input and output based subsidies. Spun off from the AI R&D paper.

In Preparation
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