Christine AnastacioAI Solutions Engineer, Philippines

I build operational systems teams can depend on.

I'm an AI Solutions Engineer with an operations background. I use AI agents with Python, JavaScript, APIs, and data pipelines to remove repetitive work, while keeping production decisions traceable and human-reviewable.

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Open to AI & automation engineering roles

Recent systems3 workflows

Margin review

Automated

Pricing pipeline that validates supplier files and flags risky changes.

< 30 minfor a review that used to take hours

Inventory audit

Read-only

Agent-orchestrated audit across item, balance, order and movement data.

< 1 hrturnaround on a large audit

Partner pricing

Verified

Deterministic rules applied to a partner price list before upload.

51,560rows, zero identifier collisions

I build from the operational problem outward.

More about me

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 use AI-assisted tooling as leverage for inspection, patching, validation, interfaces, and monitoring that make the system dependable. Automation should support human judgment, not replace it.

Where I add value on a team

Four areas where I take manual, error-prone work and turn it into dependable systems.

Workflow automation

Multi-step processes turned into scheduled, monitored pipelines with clear status, retries, and notifications.

Data & reporting

Messy files reconciled, validated against rules, and turned into reviewer-ready reports and audits.

Pricing & inventory modules

API-backed tools that centralize product data, apply pricing and stock rules, and flag risky changes before they ship.

Tools & integrations

Dashboards, APIs, and interfaces that connect the systems a team already uses.

Real problems, before and after

Systems I've built and the change they made. Each one opens a full case study.

Pricing operations platform

Pricing changes become reviewable, not mysterious

BeforeSupplier feeds and marketplace pricing rules needed a safer path than manual spreadsheet review.

AfterAn AI-assisted pipeline validates files, applies deterministic rules, caches heavy exports, and flags risky changes.

ERP inventory audit

Approved reports only, no record writes

BeforeInventory exceptions were buried across item, balance, order, purchase, and movement datasets.

AfterAn AI agent orchestrates a read-only data workflow; Python validates, joins, classifies, and produces spreadsheet/JSON outputs.

AI operating model

Inspect, stage, validate, back up, promote, verify

BeforeProduction work had container boundaries, cron differences, permissions, stale configs, and pricing blast radius.

AfterAI helps inspect, patch, debug, and validate while human judgment owns scope, risk, review, and promotion.

Explore the interactive work showcase

Outside of work, I build in public

YouTube channels run by automated pipelines I set up, digital products for freelancers, and a couple of games in progress.

See all projects

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.

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