Manual data work slows teams down and introduces costly mistakes. Whether you're cleaning spreadsheets, merging data from multiple sources, extracting information from documents, or connecting APIs, repetitive work shouldn't consume valuable engineering or business time.

I build custom Python automation that eliminates repetitive tasks, improves data quality, and creates reliable workflows your team can use every day.

Custom Python automation tailored to your workflow

Automated data cleanup and normalization (CSV, Excel, APIs, databases)

Scheduled report generation and recurring automation

SQLite and lightweight database integrations

API integrations and data synchronization

Clear documentation so your team can operate the solution independently

Cleaning or transforming large datasets

Automating repetitive office workflows

Connecting multiple systems through APIs

Building internal tools that save hours every week

Replacing manual reporting with automated dashboards

Creating reliable data pipelines for growing businesses

Recent projects include:

TheBinMap — designed and built an automated enrichment and publishing pipeline powering more than 500 location pages.

QuantumShield Core — developed a governed AI security operations platform with structured validation and replayable audit trails.

OQTOPUS (Open Source) — contributed a security attestation module to improve integrity verification in a quantum computing workflow.

Coinbase x402 Ecosystem — contributed QuantumShield API to the official x402 ecosystem directory supporting AI micropayment infrastructure.

Production-ready, documented code

Clear installation and usage instructions

One round of revisions if needed

Source code ownership upon project completion

Responsive communication throughout the project