Workflow Automation
Multi-step processes turned into scheduled, monitored pipelines with clear status, retries, and notifications.
Open to AI / automation engineering roles
AI SOLUTIONS ENGINEER · AUTOMATION · DATA ENGINEERING
I build operational systems teams can depend on.
I'm Christine — an AI Solutions Engineer with an operations background. I combine Python, JavaScript, APIs, and data pipelines with AI-assisted tooling to remove repetitive work, without hiding how decisions get made.
ABOUT
I build from the operational problem outward.
My work starts with the real process: where information enters, where people lose time, which exceptions matter, and what evidence a reviewer needs. From there I design the data flow, validation, interfaces, and monitoring that make it dependable.
More about me →
What I care about
Clear ownership, traceable outputs, practical interfaces, maintainable code, and automation that supports—not replaces—human judgment.
WHAT I DO
Where I add value on a team.
Four areas where I consistently take manual, error-prone work and turn it into dependable systems.
Data & Reporting
Messy files reconciled, validated against rules, and turned into reviewer-ready reports and audits.
Pricing & Inventory Modules
React + FastAPI tools that centralize product data, apply rules, and flag risky changes before they ship.
Tools & Integrations
Dashboards, APIs, and interfaces that connect the systems a team already uses.
CASE STUDIES
Real problems, before and after.
A few systems I've built and the measurable change they made.
Low-margin review
Before
A manual, multi-file investigation across cost and sales data that swallowed hours every cycle.
After
Hours of review reduced to under 30 minutes
A repeatable Python pipeline with cost checks, severity rules, evidence, and reviewer-ready Excel output.
Large inventory reconciliation
Before
Two systems that never quite agreed, with discrepancies buried in hundreds of thousands of rows.
After
Hundreds of thousands of rows reviewed in under one hour
A high-volume comparison that normalizes records, isolates differences, and outputs structured audit tabs.
Reliable scheduled operations
Before
Recurring jobs that failed quietly, with no clear status and painful recovery when something broke.
After
Repeatable runs with clear status and evidence
Scheduled jobs, APIs, intake, validation, reporting, and monitoring wired into one visible, traceable flow.
LET'S TALK
Looking for an engineer who thinks in systems?
I'd love to hear about the role and the problems your team is solving. Grab a time that works for you, or send me a note.