Selected Work

Twenty years.
High-stakes engineering.

From large-scale HPC risk grids (>30K CPUs) to multi-country cloud transformations — a track record built at the intersection of financial systems, platform engineering, and executive leadership.

20+
Years in Tech
200+
Engineering Org
3
Continents
6
Countries
3
Languages

Code30 is a principal-led consultancy.

All engagements are led directly by its founder.

The track record below reflects both his executive career prior to founding Code30 and the expertise that anchors our work today.

APAC Tech Lead — Global Equity Risk
Real-Time Risk
Computation Grid
Top European Investment Bank
2015 — 2016
Hong Kong · APAC
>30K
CPU HPC Grid
200+
Engineers
<50ms
VaR Latency
3
Regions
99.9%
Availability

Led a distributed organization of 200+ engineers across APAC responsible for the real-time risk and pricing infrastructure underpinning a top European investment bank's global equity operations — one of the most complex stateful, low-latency computation environments in institutional finance.

Scope & Responsibilities

  • Managed large-scale HPC computation grid (>30K CPUs) for real-time VaR, PnL, and pricing
  • Oversaw risk & pricing engines for vanilla and exotic equity products
  • Maintained global market data referential across deal, position, and product systems
  • Directed performance, scalability, and reliability across regional trading operations
  • Coordinated with Paris, London, and New York hubs for cross-region continuity
Real-Time Systems VaR Distributed Compute Enterprise Messaging Risk Engineering
◆ Architecture Overview — Sanitized
// 01 Market Data Ingestion
Market Data Feed
Tick · FX · Rates · Vol
Reference Data
Products · Instruments
Position Ledger
Deals · Post-Trade
// 02 Event Bus
High-Throughput Message Bus
Enterprise messaging · Multi-region fan-out
↯ Millions of events / sec
Metrology
Latency · SLA
// 02b Java Cache Layer
Distributed Java Cache Grid
In-memory caching layer in front of compute grid · Pre-warmed market data · Reduced recomputation · Sub-millisecond data access
Cache-first dispatch
// 03 Computation Grid — Large HPC (>30K CPUs)
VaR Engine
Monte Carlo · Greeks
Pricing Engine
Vanilla + Exotic
PnL Engine
Flash · Attribution
// 04 Consumers
Trading Desks
Risk Mgmt
Finance
Compliance
Chief Information Officer
Electronic Trading
Transformation
Bryan Garnier & Co — Investment Bank & Asset Manager
Founder Landmark Project
2012
New York · London · Paris
26
Age at appointment
88→99%
Service availability
−34%
TCO reduction
3
Financial capitals

Appointed CIO at 26 — the youngest in the firm's history — operating simultaneously across New York, London, and Paris. Transformed trading operations from manual, analog processes to fully electronic STP execution, redesigned the IT organisation, and delivered the multi-year technology blueprint for international expansion.

Key Deliverables

  • Designed and executed full migration to electronic STP trading via Bloomberg SSEOMS
  • Elevated service availability from 88% to 99%+ across all trading systems
  • Reduced total cost of ownership by 34% through infrastructure rationalisation
  • Ensured FSA and ESMA regulatory compliance across all trading and IT systems
  • Designed multi-year IT blueprint and roadmap for international operations
  • Redefined SLA/OLA frameworks across three international offices
STP Trading Bloomberg SSEOMS FSA/ESMA IT Strategy OLA/SLA
◆ Architecture Overview — Sanitized
// Before — Manual Trading Operations
Manual Order Entry
Phone · Fax · Email
Analog Reconciliation
CSV · Manual checks
SLA: 88%
Frequent outages
// Transformation Layer
Bloomberg SSEOMS — STP Integration
Order routing · Trade confirmation · Settlement · Compliance checks · Multi-venue connectivity
Full straight-through processing
// After — Electronic Operations
Electronic OMS
New York hub
Compliance Layer
FSA · ESMA · MiFID
SLA: 99%+
TCO −34%
// Multi-Year Blueprint
New York
Primary hub
London
EU operations
Paris
HQ systems
Industrialisation Consultant
Optiq — Next-Gen
Trading Engine
Euronext
2017 — 2018
Paris, France
Multi
Market coverage
Legacy
→ Next-Gen
EU
Exchange infrastructure

Brought in to support the Optiq programme — Euronext's strategic initiative to replace legacy trading platforms across European markets with a next-generation multi-market engine. We designed and delivered the industrialisation strategy and performance testing architecture to validate the platform at exchange scale.

Scope & Deliverables

  • Designed the full industrialisation strategy for Optiq's multi-market rollout
  • Architected the performance and reliability testing framework for exchange-grade validation
  • Established repeatability and reproducibility standards for trading system deployments
  • Coordinated testing against legacy platform parity requirements
  • Ensured platform readiness for EU regulatory and market structure compliance
Trading Engine Performance Engineering Industrialisation Low-Latency MiFID II
◆ Optiq Programme — Sanitized
// Legacy Platform
NSC Platform
Legacy trading engine · End of life
UTP Platform
Derivatives · Legacy
// Industrialisation Layer (our scope)
Industrialisation & Performance Testing Architecture
Load simulation · Latency profiling · Repeatability framework · Deployment pipelines · Regression suites
Exchange-grade validation
// Optiq — Next-Gen Platform
Cash Equities
Paris · Amsterdam · Brussels · Lisbon · Oslo
Derivatives
Single unified engine
Country CTO — Benefits & Engagement
Engineering & Digital
Transformation
Multinational FinTech — Benefits & Payments
2024 — 2025
Mexico City, Mexico
+40%
Operational efficiency
−23%
IT cost reduction
+30%
Business volume
70+
Engineers managed
0
Major incidents at exit

Transformed the technology organisation and core systems of a multinational fintech operating across LATAM and Europe — restructuring from pyramidal, over-layered management to autonomous, business-aligned engineering teams. Migrated core systems to Azure cloud-native while driving automation and end-to-end digitalization of the customer experience, directly contributing to product adoption, +30% business volume, and total elimination of major incidents. Recognised as LATAM Principal Engineer for the business line.

Scope & Deliverables

  • Transition from pyramidal, over-layered management to autonomous, business-aligned engineering teams
  • Core system migration from on-premise monoliths to Azure cloud-native, achieving +40% operational efficiency and −23% IT cost reduction while supporting +30% business volume growth
  • Managed 70+ engineers from inception to completion, leading to total disappearance of major incidents
  • Recognised as LATAM Principal Engineer — consistently consulted by regional and global teams for critical architecture decisions, production issues, and cloud strategy alignment
  • Supported strategic contract negotiations and technical due diligence with F500 global partners, ensuring technical alignment, compliance, and scalability
  • Aligned IT initiatives with business objectives, bringing automation and end-to-end digitalization to customer experience — directly contributing to product adoption
Azure Cloud-Native Engineering Leadership Digital Transformation FinTech Platform Engineering
◆ Engineering & Digital Transformation — Sanitized
// Before — On-Premise
Monolithic Apps
On-premise · Manual deploy
Legacy DBs
Manual ops · Low observability
// Azure Cloud-Native Target
Azure PaaS Services
AKS · App Services · Cosmos DB · Managed SQL · Service Bus
+40% efficiency · −23% cost
CI/CD & Automation
Automated pipelines · Infrastructure as Code
// Platform Services
Observability
Metrics · Logs · Alerts
Security
IAM · RBAC · Vault
Data Platform
Managed DBs · Kafka
// Outcome
0 Major Incidents
+30% Business Volume
LATAM Principal Engineer
Chief Technology & Operations Officer
AWS Data Factory
& Business Transformation
Klarsen
Thomas Baudry — Baudry Consulting
2021
France
÷5
TCO reduction
+300%
Stock price growth
100%
GDPR compliant
AWS
Full migration

We transformed Klarsen from a manual, CSV-driven data exchange business into a fully automated, GDPR-compliant AWS data factory — while simultaneously redefining the company's business model to unlock new market opportunities. The result: 300%+ stock price growth over the engagement period.

Scope & Deliverables

  • Replaced manual CSV processing with fully automated AWS data pipeline (TCO ÷5)
  • Designed and implemented GDPR-compliant data factory architecture
  • Redefined the business model from data exchange to eCommerce data platform
  • Led market opportunity arbitrage and due diligence processes
  • Drove consistent, client-centred value delivery resulting in 300%+ stock price rise
AWS Data Engineering GDPR Business Transformation eCommerce Pipeline Automation
◆ Data Factory Architecture — Sanitized
// Before — Manual Processing
CSV Files
Manual ingestion · Error-prone
Local Processing
No scalability · High TCO
// AWS Data Factory Target
Ingestion Layer
S3 · Kinesis · SQS
Processing Factory
Lambda · Glue · Step Functions
TCO ÷5
GDPR Layer
PII masking · Consent · Audit
// eCommerce Data Platform
Data Marketplace
Product catalogue · API distribution · Client portals
Analytics
Redshift · QuickSight
Founder & Principal Engineer — Code30
Elara — Enterprise
Runtime
Code30 / Independent
Jan 2026 — Present
Mexico City · Remote
8-role
RBAC system
Multi
Cloud provisioning
OPA
Policy engine
Beta
Current phase

Operating Model as Code

ELARA is a governance-first enterprise runtime designed for multi-country organisations operating at the intersection of infrastructure scale, regulatory complexity, and organisational fragmentation.

Built from first principles, ELARA embeds compliance, structural visibility, and control directly into provisioning workflows — not as an overlay, but as the operational foundation.

Structural Governance

  • Five-level organisational taxonomy modelling real enterprise structure (country → entity → domain → environment → resource)
  • 8-role enterprise RBAC spanning provisioning, policy, and visibility layers
  • Embedded separation-of-duties enforcement

Policy as Code Engine — Edict

  • Deterministic OPA/Rego enforcement at provisioning time
  • Preloaded GDPR and PCI-DSS regulatory packs
  • Composable policy layering across organisational levels

Enterprise Infrastructure Runtime

  • Terraform-driven multi-cloud orchestration (AWS, Azure, GCP ready)
  • Golden-path enforcement with deviation detection
  • Real-time provisioning observability with WebSocket log streaming

Structural Observability — Prism

  • Continuous infrastructure discovery
  • Graph-based querying of enterprise topology
  • Drift detection between declared and observed state
Enterprise Runtime Policy as Code Structural Observability Sovereign-by-Design Multi-Entity Governance Operating Model as Code
◆ ELARA — Enterprise Runtime Architecture
Access
Web UI
CLI
API
// Enterprise Operating Model
5-Level Organisational Taxonomy
Country → Entity → Domain → Environment → Resource
Policy inheritance · Delegation boundaries · Structural authority
// Enterprise Runtime Core
EDICT
Governance Engine
Regulatory packs
GDPR · PCI-DSS · DORA
Pre-execution validation
Structural enforcement
Composable policy layers
PRISM
Observability Engine
Real-time discovery
Graph topology
Drift detection
State reconciliation
Code generation
// Execution Adapters
Infrastructure Drivers
OpenTofu / Terraform integration  ·  Cloud-native APIs  ·  State orchestration  ·  Golden-path enforcement
Executes what the Runtime Core decides. Subordinate to governance.
// Infrastructure Targets
Azure
AWS
GCP
Alibaba
Head of Front-End Services & Industrialisation
Cloud Strategy &
Engineering Transformation
Groupe Pomona
2018 — 2020
France
12+
Applications
2
Cloud Providers
First
Public Cloud Deploy
DDD
Architecture Shift

We partnered with the CIO and executive leadership to define the group's cloud and DevOps strategy for a major French food distribution group. We led the engineering transformation from legacy monoliths to cloud-native, event-driven architecture — designing and executing the group's first public cloud deployments on Azure and AWS.

Scope & Deliverables

  • Partnered with CIO and executive leadership to define group-wide cloud and DevOps strategy
  • Directed lean, high-impact team overseeing 12+ applications including eBusiness platform and in-house pricing calculator
  • Shifted engineering practices toward Domain-Driven Design, event-driven architecture, and microservices
  • Designed and executed first public cloud deployments on Azure and AWS
  • Established Infrastructure Factory with market-standard on-demand services
  • Introduced observability and metrology practices for operational excellence
Cloud Strategy Azure AWS DDD Event-Driven Architecture DevOps Observability
◆ Cloud Strategy & Engineering Transformation — Sanitized
// Before — Legacy Estate
Monolithic Apps
eBusiness platform · Pricing calculator · 12+ apps
On-Premise
Manual ops · Low observability · Tight coupling
// Transformation Strategy
Infrastructure Factory
Domain-Driven Design · Event-driven architecture · Microservices · On-demand cloud services · Market-standard tooling
First public cloud deployment
// Cloud Target
Azure
Primary cloud
AWS
Secondary cloud
Observability
Metrology · SLA tracking

Architecture diagrams are sanitized representations — no proprietary or confidential information.

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