Explainable Margin Analysis
Automates multi-file margin review and produces severity findings, evidence, explanations, and reviewer-ready output.
Hours → under 30 minutesAI SOLUTIONS ENGINEER · PROMPT ENGINEER · AGENTIC AI ENGINEER
I build AI systems that turn complex operations into fast, explainable workflows.
Prompt engineering, agentic automation, data processing, and human-in-the-loop controls for real business outcomes.
ABOUT
Operations knowledge meets AI engineering.
I design practical AI-assisted systems that combine structured prompts, deterministic rules, evidence generation, exception handling, and human review. I focus on reliable solutions that people can understand, verify, and maintain.
ENGINEERING CASE STUDIES
Systems built around measurable outcomes.
Large-Scale Inventory Audit
Normalizes and compares hundreds of thousands of records, isolates discrepancies, and generates structured reports.
Days → under one hourAgentic Operations Automation
Coordinates intake, AI-assisted analysis, validation, reporting, notifications, and operational status publishing.
Repeatable, traceable runsOperations Intelligence Dashboard
Responsive authenticated dashboards for workflow health, run history, exceptions, and report access.
Faster operational visibilityPrompt Engineering Framework
Reusable prompt structures, output contracts, edge-case tests, evidence requirements, and human approval gates.
More consistent AI outputsAI Reporting Systems
Creates review-ready Excel reports, summaries, audit evidence, and notifications from complex operational inputs.
Clearer human decisionsHOW I ENGINEER AI SYSTEMS
Human judgment stays in control.
1
Define the decision
Start with the business outcome and reviewer needs.
2
Design the workflow
Separate model tasks, deterministic rules, and data transformations.
3
Engineer prompts
Specify context, constraints, output contracts, and evidence.
4
Test failure modes
Evaluate ambiguity, edge cases, missing inputs, and unsupported claims.
5
Validate and review
Add checks, exception handling, and human approval gates.
6
Measure impact
Track cycle time, reliability, review effort, and usefulness.
TECHNICAL STACK
From prompt to production workflow.
AI
Claude, OpenAI GPT/Codex, Gemini, Hermes, OpenClaw, prompt evaluation, structured outputs
Development
Python, JavaScript, HTML5, CSS3, Bash, JSON, Git, GitHub, VS Code
Automation
Workflow orchestration, Excel/CSV processing, APIs, SFTP, scheduling, reporting, validation
Infrastructure
Linux, Docker, Nginx, Firebase, Cloudflare, GitHub Pages, monitoring dashboards
CONTACT
Let's build AI systems people can trust.
Philippines · chmpzu@gmail.com · 0976 019 9461