Enterprise Architecture
HLD/LLD, integration design, modernization, system boundaries and build-vs-buy decisions.
Luis Lirola
Forward Deployed Engineer / Applied AI Engineer
I bring 15 years of experience in commercial software development, working across the full delivery lifecycle — from discovery and requirements with product owners to architecture, technical planning, hands-on implementation and production deployment.
I also help teams integrate AI into how they build software: AI-assisted planning, agentic development, code review and delivery workflows, with human judgment and engineering quality at the core.
End-to-end engineering
From the first “what if”
to running in production.
Business thinking. System design. Hands-on delivery.
I connect the pieces — and own the outcome.
01 / DISCOVER
Find the problem
worth solving.
Turn a business idea into a clear scope. Understand users, constraints and what success should look like.
Problem framing · Scope · Success criteria
The business problem
01 Goals & constraints
02 Success criteria
Data & infrastructure
Services & AI
Product experience
product / implementation
build product {
frontend + backend
data + integrations
agents + tools
}
✓ Test · Evaluate · Refine
Validate the release
Automate delivery
Launch & monitor
Observe
Improve
Learn
One connected process. End-to-end ownership.Production insights feed the next iteration ↺
Additional expertise
Technical breadth
Hands-on experience across product, enterprise systems, security boundaries, integrations and business domains.
AI / Agents
RAG, MCP, agentic workflows and AI-assisted engineering across discovery and delivery.
Security
OWASP, vulnerability research, Hack The Box, HackerOne, Kali Linux, identity and API security.
FinTech
Trading and investment systems, financial data workflows, analytics and payment-related architecture.
Blockchain / Web3
Smart contracts, blockchain infrastructure, nodes, wallets, on-chain integrations and automation.
Cloud & Infrastructure
AWS, Docker, Kubernetes, CI/CD and production platform architecture.
Data
SQL, NoSQL, search/vector systems, ingestion pipelines and data-oriented architecture.
Product Engineering
Discovery, architecture, hands-on implementation, launch and iterative product delivery.
Selected work
View all 17 projects →Independent products, enterprise systems and client projects. A closer look at the problems, decisions and delivery.
6 featured projects from a portfolio of 17.
Selected client engagements are anonymized to respect confidentiality.
No cases in this category.
Content delivery
Content
Platform
Delivery
Enterprise Engagement
Enterprise Learning Content Platform
Architecture and evolution of a learning-content platform: CMS, metadata, localization and delivery.
Learning Tech
In development
Enterprise Learning Content Platform
Architecture and evolution of a learning-content platform: CMS integrations, metadata, localization and delivery.
- Problem
- Enterprise learning content has to stay structured, localized and publishable across existing CMS and delivery channels.
- My role
- Architecture and platform evolution: CMS integrations, the metadata model, localization and content delivery.
- What I built
- CMS integration approach.
- Metadata and localization model.
- Delivery design for existing learning channels.
- Architecture & decisions
- Content stays structured in a shared metadata model, localized for each locale, and published through existing CMS and delivery integrations rather than a separate authoring stack.
- Technologies
- Spring
- Angular
- PostgreSQL
- Flyway
- AWS
- Lambda
- DynamoDB
- Bedrock
- Outcome
- The first release was delivered to the staging environment.
- Case boundary
- The client and internal programme names are omitted.
Connected care
Patient
Platform
Clinician
Enterprise Engagement
Enterprise Telehealth Platform
Architecture and technical leadership across multiple teams delivering digital healthcare.
Healthcare
Architecture & leadership
Enterprise Telehealth Platform
Technical architecture and delivery leadership for a multi-team digital healthcare platform.
- Problem
- A multi-team telehealth estate needs one architectural direction, a coherent data model and release coordination across squads.
- My role
- Technical Architect / Tech Lead: high- and low-level design, database design, client-facing technical work, technical leadership of three teams and release coordination.
- What I built
- Architecture and design artifacts.
- Database design.
- Team technical direction and release coordination.
- Architecture & decisions
- Multi-team delivery under a shared high-level and low-level design, rather than isolated squads.
- Technologies
- Java
- Spring Boot
- Angular
- PostgreSQL
- AWS
- Kubernetes
- Outcome
- Delivered as a live enterprise telehealth platform.
- Case boundary
- The client identity and internal implementation details are omitted.
Platform modernization
Legacy
Domain servicesData platformCloud delivery
Enterprise Engagement
Cloud Platform Modernization
Designing a phased transition from a legacy estate to cloud services and domain-oriented data.
Cloud Migration
Migration architecture
Cloud Platform Modernization
Architecture for a phased migration from a legacy application and database estate to a cloud platform.
- Problem
- A domain-heavy legacy stack cannot cut over in one step. Data and writes have to move without stopping the business.
- My role
- Architecture and modernization design: target-cloud and data model, domain boundaries, and the coexistence patterns needed to move writes safely.
- What I built
- Target-cloud and data design.
- Domain boundaries and coexistence of legacy and new systems.
- Shadow mode, transition bridge, outbox and dead-letter handling.
- Architecture & decisions
- Strangler-style coexistence rather than a single big-bang rewrite. Java, PostgreSQL and cloud delivery, with domain-oriented data boundaries.
- Technologies
- Java
- PostgreSQL
- AWS
- Outcome
- Migration architecture and integration patterns are defined.
- Case boundary
- Internal programme and client names are omitted. The case focuses on migration architecture.
Assessment protocol
Collaboration evidence
Assessment protocol
Capability profile
Independent Product
AI Passport
A local tool that validates three manually imported AI assessments and turns them into an inspectable fluency profile.
AssessmentAI Lab
Local prototypeView case study →
Research workflow
CongressInsidersFilings
Strategy research
Independent Product
Investivoq
Public market signals turned into systematic investment research, strategies and alerts.
Finance
Live product
Investivoq
An independent research product built around public disclosures, systematic strategies and a subscription experience. Research only — not a brokerage and not personalized advice.
- Problem
- Alternative-data signals usually live in filings, vendor feeds and private notebooks. Readers need a place to inspect strategy families and unlock deeper history without opening a trading account.
- My role
- Owner of the live product: discovery, architecture, implementation and ongoing delivery across the public site, research catalog, access model and alerts.
- What I built
- Public site: landing, pricing, FAQ, methodology, legal, news and shareable historical cases.
- Strategy catalog for published families, curated picks and watches.
- Subscription checkout with pluggable payment providers.
- Email and Telegram alerts, including preference and stop flows.
- Admin surfaces for jobs, data sources, ingestion and editorial publishing.
- Architecture & decisions
- Modular monolith: Spring Boot, Angular, PostgreSQL, Flyway and JWT, plus a Python research engine started as a job process. Access is subscription-based. Payment providers are feature-flagged so checkout can change without rewriting the research domain.
- Technologies
- Spring Boot
- Angular
- PostgreSQL
- Flyway
- Python
- Outcome
- The product is live at investivoq.com.
Referral intake concept
Referral
Find context
Human review
AI Lab Project
Healthcare Referral Intake Assistant
A planned local assistant for reviewing referral information, finding relevant guidance and preparing a draft for human review.
HealthcareAI Lab
Planned local prototypeView project plan →