John Christian
Yongco.

AI Data Operations &
Systems Workflow Specialist

I connect careful human judgment with practical automation to make data and systems more reliable.

Human judgment. Connected systems.

Precision in the details.
Perspective across systems.

My work lives where data quality, AI evaluation, and operations meet. I review ambiguous information, identify risk patterns, and build workflows that make repetitive work easier to manage.

My background spans regulatory annotation, Japanese content moderation, phishing review, and geospatial data research. I combine judgment-driven review with practical automation, API integrations, and self-hosted tools.

Recently, I’ve been working as an AI RAG Project Manager, focusing on spatial data, RAG quality, metadata enrichment, and place-based knowledge.

Work that shapes my approach.

2026 — Present

AI RAG Project Manager · Reputech

Coordinate RAG knowledge-system projects, translating business requirements into ingestion, metadata, and answer-quality workflows.

RAGDocument ingestionMetadata enrichmentAnswer-quality evaluation
2025

GIS Data Specialist · SummAI

Researched and validated geospatial datasets, organized location information, and supported address accuracy.

GISGoogle Maps APIExcelGoogle Sheets
2024–2025

Data Specialist · ControlD

Reviewed websites and domains, checked AI-assisted classifications, and supported filtering and threat intelligence datasets.

AI-assisted classificationData QAThreat intelligenceDomain review
2023–2025

AI Output Evaluation · AI Evaluation Projects

Reviewed AI outputs for accuracy and quality across evaluation projects.

AI output evaluationQuality assuranceHuman-in-the-loop
2024

Data Annotation Specialist · Blowfish

Classified dApp websites and phishing or scam patterns for blockchain security workflows.

dApp classificationPhishing reviewBlockchain security
2021–2022

Data Annotation Associate · Compliance.ai

Annotated regulatory documents and validated datasets for compliance-related machine learning.

Regulatory annotationDataset validationCompliance ML
2021–2022

Japanese Content Moderator · Conectys

Reviewed Japanese content, supported fraud checks, and collaborated with quality assurance teams.

Japanese content reviewFraud reviewQuality assurance

Systems, workflows,
and explorations.

01ONGOING EXPLORATION
JC Personal RAG chat interface

RAG quality & context

Exploring source-grounded answers, ingestion quality, and metadata enrichment for useful knowledge systems.

RAG evaluationMetadataData QA
My contribution +

Working on evaluation criteria and understanding how ingestion and metadata affect answer quality. This is an exploration rather than a finished product.

02COMPLETED WORKFLOW
PYC registration and payment dashboard

PYC Registration & Payment Automation

Designed a centralized dashboard for registration tracking, payment reconciliation, confirmations, and operational follow-up.

Workflow automationDashboard systemsPayment reconciliation
My contribution +

Built and organized a practical operations view for monitoring registrants, confirmations, payments, references, and follow-up tasks.

Spatial data.

03PROFESSIONAL EXPERIENCE
Spatial data workbench with map and address validation records

Spatial data workflows

Researching and validating location datasets, organizing addresses, and supporting reliable geospatial information.

GISGoogle Maps APIExcel
My contribution +

Researched and validated mapping data, processed address information, and used spreadsheets and mapping tools to organize datasets.

04STANDALONE PROJECT
Prixial spatial intelligence homepage

prixial.xyz ↗

A context-aware spatial intelligence platform connecting intent, knowledge, environment, and place.

Spatial intelligenceContext systemsWeb product
Project note +

Shown as a standalone spatial data project, separate from the selected work above.

Affiliated agency

05AFFILIATED AGENCY
Rootinize intelligent automation website

rootinize.team ↗

An affiliated agency for practical automation, data workflows, and AI-enabled systems.

AutomationData workflowsAI systems

Let’s solve something
worth getting right.

For AI data operations, evaluation, workflow automation, or spatial data collaboration.

Start a conversation ↗