35+ years of highly technical software engineering — backend application development, data engineering, DevOps and InfoSec, primarily in Python, Perl and C/C++. Fully invested in Claude/AI development cycles: planning, skill creation, architecture and implementation with AI toolsets. Currently co-founder of a stealth AI startup building agentic AI RAG document search and an autonomous, self-improving, massively parallel “dark factory” build system, after a run of Python InfoSec work at Bank of America.
Full resume in PDF, Word or HTML, plus a detailed employment history. Updated October 12, 2026.
Recent roles. Earlier work is in the downloadable employment history.
Architecture and development of Python ETL for online-retail product data on Google Cloud — Airflow, BigQuery, Composer, Spark, MongoDB.
Python architecture and development on a B2B/B2C Django application hosting medical insurance industry clients.
Python backend development and Django automation; DevOps server provisioning in in-house data centers.
Python architecture, development and maintenance on capital markets deal aggregation processes, including a Python 2.7 to 3.7 conversion on BofA's Quartz toolset.
Python 2.7 and 3.7 AWS Lambda functions; business analysis and specifications; infrastructure and InfoSec analysis on AWS (Route53, S3, EC2).
Python libraries for Robot Framework test scripts; QA automation suites for newly developed Java/JMX code.
Supported a desk handling 6% of US equities and options markets. Perl and Python trading-desk automation, FIX protocol troubleshooting, and a rewrite of FINRA OATS compliance processing.
Employee #5 of a now publicly listed construction-industry SaaS company. Python architecture and development of large portions of the main application, weekly agile releases with TDD, Postgres and SQLAlchemy.
Architected a Capital Markets risk data warehouse feeding the CEO and Board. Wrote 40,000 lines of Perl doing ETL of 350+ files into Sybase, later Oracle.
Single-sign-on bond-purchasing site for UBS; version control for a 140-person team at Sears.com; $250M in savings identified for Sears Credit through improved credit scoring; a real-time embedded C PID controller for a gas-pipeline turbocompressor.
Recent public repositories on github.com/justanyone.
Production-ready pure-Python reader for Outlook PST stores — zero dependencies, differentially verified against Microsoft's Rust outlook-pst. Exports to mbox and .eml.
BDD tests covering every feature and function of the Perl Date::Manip library.
Grabs chat logs from VS Code Copilot and saves them to a .chat_history subdirectory.
Downloads Crunchyroll metadata to find titles meeting specific criteria.
Best reached by text with purpose of call, incl. tech stack required.
𒉺 𒑲 𒇷 𒋛 𒑲 𒑰 𒄩 𒀊 𒑰 𒄿 𒀀 𒌨 𒑰 𒈨 𒊓 𒄀 𒋛 𒑲 𒑰 𒌅 𒑰 𒈨 𒑰 𒌦 𒑰 𒌋 𒁁 𒂗 𒑰 𒁉 𒊑 𒁲 𒑲 𒑰 𒅗 𒑲 𒆷 𒄿 𒑰 𒋫 𒀊 𒇷 𒋾 𒑲 𒊓 𒑲 𒑰 𒀭 𒁕 𒑲 𒑰 𒁲 𒇷 𒁁 𒊑 𒁲 𒑲 𒑰 𒌅 𒑰 𒆠 𒁉 𒅔 𒑰 𒍝 𒑲 𒑰 𒊑 𒋛 𒑲 𒑰 𒅗 𒊏 𒑲 𒑰 𒌒 𒑰 𒅕 𒁉 𒅔 𒂵 𒑲 𒑰 𒁉 𒅔 𒆠 𒅋 𒑰 𒁀 𒑲 𒊑 𒋾 𒋛 𒑲 𒑰 𒈬 𒋛 𒌝 𒑰 𒇻 𒌦 𒁺 𒌦 𒑰 𒄭 𒑰 𒁺 𒂊 𒋛 𒑲 𒈾 𒑲 𒋫 𒑲 𒑰 𒅗 𒑲 𒈾 𒌋 𒑰 𒈨 𒑰 𒁍 𒌅 𒑲 𒑰 𒄭 𒋛 𒑲 𒑰 𒀭 𒑰 𒂊 𒉿 𒆠 𒑲 𒑰 𒄖 𒄿 𒑰 𒀭 𒁕 𒑲 𒑰 𒄿 𒁲 𒑲 𒑰 𒇻 𒌒 𒑰 𒌅 𒑰 𒋛 𒑰 𒄭 𒅎 𒑰 𒋫 𒑲 𒊑 𒑰 𒌅 𒑰 𒊑 𒁲 𒑲 𒑰 𒀀 𒑰 𒈨 𒊓 𒂵 𒑲 𒑰 𒀜 𒊑 𒋛 𒁲 𒑲 𒑰 𒌅 𒑰 𒋢 𒈨 𒌦 𒑰 𒇷 𒁉 𒅔 𒂵 𒑲 𒑰 𒅔 𒑰 𒋛 𒅗 𒄖
Please have your messages to me on oven-fired clay tablets and delivered to Kevin J. Rice care of: Irving Finkel, British Museum, London. He doesn’t know me, but he’s an epic guy and I’d love to see him try to read a message addressed to someone living in Chicago.