Mutual of Omaha Hiring Intelligence
An interview-ready hiring-intelligence case study that turns a current public-posting sample into an inspectable view of operating priorities, capability demand, and co-occurring hiring signals.
The project records are modular and shared with the skills page, so skill associations, dates, descriptions, and proficiency metadata live in one place.
Shows the full skill set without role-based filtering so the broader technical range stays visible.
An interview-ready hiring-intelligence case study that turns a current public-posting sample into an inspectable view of operating priorities, capability demand, and co-occurring hiring signals.

A food-network analysis that parsed roughly four million recipe records, extracted ingredients and spices, and built connected views of how spices relate to one another, to broader ingredients, and to cuisines.
A full-stack dashboard builder where users arrange charts, KPIs, tables, and interactive controls into the dashboard they want, then an agent builds the supporting pipeline from both ends: the requested visual outputs and parameters on one side, and approved data schemas, business rules, and source lineage on the other.

A web application that turns an origin point and a user-drawn bounding box into polished isochrone posters or vertical animations, making advanced accessibility visualization easier to configure and repeat.

A reproducible data-science pipeline that reconciles a city-by-city legal directory snapshot into firm, practice, school, and recognition-cohort intelligence with uncertainty-aware rankings and held-out validation.
A desktop blend-design lab that creates an initial spice blend from a user idea, then passes it through a cyclic panel of persona-driven judges who critique and refine the formula into a stronger final blend.

A historical discovery platform for exploring who was alive at the same time, how influential figures connect across eras, and how people cluster by period, category, location, and relationship type.
A collaborative planning-poker product built for a department to run estimation sessions, collect story-point votes, and use historical work to recommend estimates for new assignments.
A full-stack application for schools, clubs, and organizations to collect personalized messages, configure visual templates, and generate polished print-ready materials at campaign scale.
A searchable dermatology reference designed to make clinical terms easier to browse, compare, and study through a focused web experience.

A full-stack coworking platform that gives operators a visual way to configure office spaces, manage resources and bookings, and deliver a branded member experience that can grow into a white-label product.

A long-horizon simulation project that models AI consumers and AI companies to test pricing, product decisions, expenses, purchases, and bankruptcies when real-world data is incomplete or unavailable.
A recurring scraper that collects atmospheric measurements across the continental United States using image processing, interpolation, and scheduled data capture to create a dataset that did not already exist in usable form.
A set of end-to-end automation workflows that detected orders, collected customer data, selected assets, resized images, and routed deliverables into print and fulfillment systems with minimal manual handling.

A content-generation system that scraped athlete names across leagues, ranked them by recency and prominence, arranged them into team-logo compositions, and connected the outputs to an automated storefront.

A workflow for transcribing and analyzing large volumes of call recordings so that business teams could inspect common issues, trends, and operational friction at scale.
A retrieval-oriented workflow that gave teams faster access to SOP content and internal operating knowledge without forcing them to dig through documents manually.

A map-generation system that used QGIS and OpenStreetMap data to create thousands of product variations across locations, colors, and print-ready outputs.

A machine-learning exploration engine that maps molecules, taste descriptors, ingredients, and recipes into a searchable semantic space for discovering flavor relationships.

A lightweight United States routing engine that estimates ZIP-to-ZIP paths by building a nearest-neighbor graph over geocoded ZIP nodes and searching it with A*.

A memory-conscious road-network router that snaps ZIP codes to a North American road graph, estimates travel time by road class, and produces route and accessibility maps.