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SimonDataLab production system

Production platforms. Measurable outcomes.

I build production-grade data and AI platforms for regulated and high-growth organizations.

End-to-end methodology

Unified Data Ecosystem

From raw data to business decisions: six stages, fully automated.

Data Sources

Data Pipelines

Cloud Infrastructure

AI Agents

Advanced Analytics

Business Decisions

Proof in production

$100K+

Verified annual savings

Engineering leadership across regulated and product environments

99.97%

Platform reliability

High-performing teams and cross-functional delivery partners

12+

Zero-finding audits

Delivered through automation, optimization, and scale

50+

Professionals led

In production across self-hosted infrastructure and workflows

Capabilities

What I Deliver

Data platforms, AI systems, and governed analytics packaged around buyer outcomes: roadmap, buildout, stabilization, and operating proof.

SYS.01
GOVERNANCE

Data Governance & Compliance

delivery focus

Governed data foundations with lineage, controls, and audit-ready evidence for regulated teams.

From

Fragmented data, manual checks, regulatory risk

To

Governed data products with structured audit trails

Data catalogLineagePolicy as codeAudit
SYS.02
MLOPS

ML Platform Engineering

delivery focus

MLOps foundations that move models from experiments into monitored production services.

From

Notebook experiments and scattered model files

To

Governed model lifecycle with deployment and monitoring

MLOpsFeature storeModel servingObservability
SYS.03
GOVERNED ANALYTICS

Regulated Healthcare & Finance Analytics

delivery focus

Secure analytics for healthcare, pharma, fintech, and financial operations where trust, privacy, and decisions matter.

From

Fragmented clinical, operational, and financial data

To

Trusted analytics for risk, performance, and compliance

HealthcarePharmaFintech riskExecutive dashboards
SYS.04
GEOSPATIAL

Geospatial Intelligence

delivery focus

Spatial systems that convert location data into coverage, risk, demand, and infrastructure decisions.

From

Static geospatial files and isolated maps

To

Interactive spatial intelligence for planning and operations

PostGISGeoServerH33D maps

Lab Status

Data flows through production

Live telemetry from active systems

Latency p95

Live

240ms

Routing telemetry

Validation

Live

99.97%

Schema + SLA gates

Uptime

Live

99.99%

Production services

Throughput

Live

18 req/s

Agent workflow lane

From the Lab

Data flows through production.

Three self-hosted systems — bare-metal, 24/7. Trace the pipeline from raw events to measurable outcomes.

Pipeline Telemetry

Selected production route from event intake to durable state.

routeactive
p95240ms
valid99.97%
sinks3
Ingress
100 event units
webhook / cron / alert
Fan-out
4 active branches
parallel execution
Validation
schema + SLA gate
before persistence
Persistence
3 destination systems
db / observability / comms

Connected Lab Systems

orchestration · spatial intelligence · system cartography

How I Work

End to End. Every Time.

Five phases from discovery to a self-sustaining data organization.

Engineering Blog

From the Build Log

Long-form write-ups on data platform strategy, governance frameworks, automation architecture, and infrastructure decisions. Published as I ship.

Articles

11

Topics

9

Latest release

Feb 11, 2026

Articles

Editorial knowledge graph

11 articles

Data Engineering
AI / ML
Leadership
Governance
Automation
Geospatial
Infrastructure
Security
Strategy

Published as I ship

11 deep-dive articles — data leadership, architecture, and infrastructure.

View All Posts

Next Step

Start the Conversation

Share the platform, AI, analytics, or governance problem. Keep sensitive details private until there is mutual fit.

Privacy-first intake workflow

Direct Channels

Engagement Areas

  • Data / AI readiness audit and roadmap
  • 90-day data platform stabilization
  • Production MLOps buildout
  • Healthcare, pharma, finance, and fintech analytics
  • Geospatial intelligence and infrastructure mapping
  • Fractional data leadership and delivery cadence

SIMONDATALAB

SimonDataLab designs, builds, governs, and operates data platforms, AI systems, and analytics environments for regulated and technical teams. The work spans warehouse modernization, MLOps, self-hosted infrastructure, geospatial systems, and delivery leadership.

Services

  • Data Governance & Compliance
  • ML Platform Engineering
  • Healthcare, Pharma & Finance Analytics
  • Geospatial Intelligence
  • Fractional Data Leadership

© 2026 SimonDatalab. Data Engineering Leadership · AI Platform Enablement · Production Infrastructure.

Available for strategic engagements
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Based in Ho Chi Minh City. Working across North America, Europe, and Asia-Pacific.

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