Automation
CLI-first tools, internal workflows, structured execution, state, and validation.
Oscar Gracia
I build practical Python systems for workflow automation, document retrieval, and reviewable AI-assisted work. My strongest proof is project-backed: orchestration tooling, CLI-first AI utilities, retrieval pipelines, and monitoring-oriented analytical systems.
Focus
My current positioning is centered on Python automation, applied AI, document workflows, and analytical infrastructure. I work best on systems that need inspectability, repeatable execution, and clear operational value.
CLI-first tools, internal workflows, structured execution, state, and validation.
Responses API integrations, structured outputs, retrieval flows, and grounded review.
Market-data processing, alerting, monitoring, and operator-facing reporting.
Selected Work
Terminal-first Python orchestration for bounded coding-task workflows with planning, execution, review, and resumable state.
Document-ingestion and retrieval workflow with metadata persistence, validation, and reviewable question-answering over indexed legal materials.
Lightweight CLI utility around the OpenAI Responses API with local-file input, attachments, and retrieval-oriented document workflows.
Python-based analytical infrastructure for market-data ingestion, time-series processing, monitoring, charting, and operator-facing alerts.
Best Fit
The strongest fit is technical work where implementation quality matters more than hype: workflow automation, retrieval systems, AI evaluation, technical operations, and documentation-heavy problem spaces.
Contact
If you need Python automation, retrieval workflows, or structured AI review support, email is the fastest way to reach me.