I lead the first in-house mobile app development effort at Alterra. With a fairly small team, we've built a flexible mobile app platform, serving a wide range of use cases for our guests.Starting from a handful of POCs, I've been responsible for establishing process, making architectural decisions, and hands-on implementation. Some areas include:- starting a design system- CI pipelines and optimization- monorepo tooling selection - Auth0 integration- feature flagging- CMS integration (Sanity) and type safety of content- data layer, offline first caching- geofencingAs a team, we pair-program often and help each other get things done.We ship frequently to stakeholders and have dramatically shortened the lead time for the business to request a change and see it in action.

While working with Nutrien, I was embedded in the Platform Team for a large React Native project (> 150 engineers). I worked across design system components, backend graphql services, and platform areas like auth, analytics, internationalization, and mapping.I took special interest in CI runtimes and developer tooling. Key accomplishments:- reduced CI runtime from nearly an hour to 5 minutes through parallelism and subdividing modules- worked with Cloud Engineering to parallelize testing and deployment of frontend apps, 15+ microservices, and internal package publication.- drew and socialized clearer boundaries for shared code to reduce unintended conflict between teams and across timezones

Consultant for psychology researchers - mostly helping workshop code implementations for the analysis they'd like to do on their data. Matlab, some pythonWorked on a web-based data sharing tool which integrated the Globus API, the Beocat supercomputer's filesystem, and Dropbox. Frameworks used include Django and React.

Front-end web development w/ Angular.js, mostly focused on granular UI work, CSS.Fraud detection research in customer satisfaction surveys. I used browser fingerprinting techniques along with non-fancy stuff (user-agent, time patterns, basic correlation) to make a few 'rules-of-thumb' around whether individual survey responses are thrown out or considered. In this domain, there's no ground truth to validate against, so the resulting work is explainable and based on judgement - no machine learning/black box.

Grader for CIS 798 - Big Data Analytics, taught by Prof Bill Hsu.798 is a broad survey course of data analytics tools and techniques. Highlights include basic primitives like mapping, reducing, aggregation functions; an impressionistic sampling of different database flavors like relational, NoSQL, columnar, graph (Neo4j); some implementation projects; case studies like Google Maps' Hilbert Curve locality sharding, the original Page Rank algorithm, text document indexing techniques like TFIDF; and gaining an awareness of the Apache/Zookeeper ecosystem - HDFS, Hadoop, Hive, Pig, Spark, MapReduce, Kafka.Lots of topics, but knowing a little about a lot has been an incredibly helpful foundation in practice.

TA for CIS 225 - Personal Computer Systems Administration. Coveted Linux and Windows, basics of homebuilt PCs.Grading and a little bit of teaching

Full stack work on an internal tool. PHP, MySQL, and a foray into JavaScript-heavy frontend interactivity, adding a REST API to a previously monolithic app. Some knockout.js and early adopting of ES modules via JSPM. (yes, all the way back in 2015!)

Designed, developed, and maintained a website for the O'Fallon Public Library. Full Stack - PHP admin panel powering a JS static site generator

I ran around O'Fallon as part of a team slapping yellow ID stickers on street sign posts and cataloging sign condition, reflectivity, fading, etc. I made some keyboard macros to automate some repetitive typing, and our team crushed it, finishing the project weeks early.