7 Mar 2026

Wolf

Résumé

5936 Lohr Rd., Ann Arbor, MI 48108
wolf@zv.cx

Professional Summary

A top-notch software engineer, architect, and debugger with broad experience spanning systems programming, web applications, data pipelines, and geospatial tools. I jump into any situation and become productive immediately — whether joining a team, leading one, or working alone, on-site or remote.

I define success as the success of the team around me. I feel purpose most in raising up the people around me: helping them, teaching them, and advertising their accomplishments. I am a life-long learner, an experienced public speaker, and I have a love and a talent for teaching. Daily user of AI-assisted development tools including Claude Code. I have clear procedures for what to delegate and what to verify — I understand when AI accelerates work and when it introduces risk.

Technical Skills

Languages: Python (expert, since 1998), SQL, JavaScript/TypeScript, C++, Bash/Zsh, Rust (learning), PHP (past), Go (past)
Databases: PostgreSQL/PostGIS, SQLite, MySQL, Elasticsearch (past), MongoDB (past)
Tools: Git (expert), Linux/macOS/Windows, Qt/PySide, Pandas, Docker, AWS, Terraform
Practices: performance optimization, deep tool leveraging (including AI), algorithms, cross-platform, open source, public speaking

I am an authority in Python, Git, and algorithms. Python is my current primary language; in it I am a heavy user of Qt, Pandas, and geometry (with PostGIS in Postgres). I am currently learning Rust. I have a great deal of experience and expertise in regular expressions. Some time ago I was an expert in C++, and I could still write code in it (or almost anything else) given a little preparation and an open book.

In databases, I have several years of recent PostgreSQL experience, more than a decade of MySQL, and am reasonably proficient in SQLite. I am a full-stack developer comfortable with both front-end and back-end. I'm a Bash expert gravitating towards Zsh for interactive use. I am at home on Linux, Mac, or Windows and have been writing cross-platform code since 1991. I work happily in PyCharm, RustRover, or IntelliJ, or with nothing but the command line — my current daily-driver editor is Helix.

I am an algorithms guy with experience in programming languages, applications (native and cross-platform), web systems, encryption/authentication, search, compression, text systems, and making things go faster. I have distinguished myself as a public speaker, technical evangelist, and educator. I have extensive experience in open source and distributed development.

Code Samples and Presentations

Recent Experience

Dynamic Map Platform North America Senior Software Engineer

At DMP I am the team's authority on Python, Git, data structures, CS algorithms, and tooling — and I mentor the team so they develop these skills too. I ensure we measure the right things and prove our answers through testing.

I write real code solving hard problems under real constraints: cost, memory, disk, time, and bandwidth. Our Qt desktop apps in Python use PostgreSQL, PostGIS, Pandas, and several AWS services, and are used internally by experts building highly precise maps. I rewrote the database access layer for our sign and road information tools, achieving a 36% speed improvement.

Genomenon Senior Software Engineer

At Genomenon I wrote back-end code in Python and Go, using Docker extensively, AWS SQS and S3 (with LocalStack for local simulation), and Terraform to manage infrastructure. Genomenon is a genomic intelligence company. I worked on a data pipeline that made scientific papers referencing genes and variants searchable in Elasticsearch, backed by PostgreSQL. I also built internal tools supporting the human curators who annotated genes and variants for clinical use.

Learning A-Z Principal Software Engineer

At LAZ I was a full-stack developer building literacy tools for K-6 students in PHP, JavaScript, and MySQL. I worked on the mobile team writing back-end code, focusing on our latest writing program. I also handled DevOps tasks: researching and implementing a CDN (AWS CloudFront), standing up an on-prem GitLab instance, and converting a large codebase and development team from CVS to Git. As the team's Git expert, I did regular training and one-on-one problem solving with developers.

On the non-coding side, I ran our annual intern program — "mentoring the mentors" — and our twice-yearly engineering Hack-a-thon.

Arbor Networks Senior Software Engineer

I wrote Python code both intrusive to and external to cellular provider switching machinery, accessing time-series databases to understand packet flow. I built analytical pipelines to decompose, annotate, analyze, filter, categorize, and report on trends across millions of packets. End goals included traffic shaping, prioritizing important streams, and filtering attacks — separating signal from noise at massive scale. Arbor Networks is now NetScout.