Client, backend, data, security and release are designed as one production system.
FINTECH · AI · PRODUCT SYSTEM
CHEK
A product that turns transactions, receipts and financial behavior into a clear picture of spending, categories, risk and next decisions.
AndroidBackend APIPostgreSQLCloudAI LayerTelemetry
MISSION
Intelligent personal finance
Go beyond expense tracking and help users understand financial behavior and make better decisions.
We design the product as one connected system: client experience, domain logic, data, security, observability, release and roadmap. Architecture must work in real production, not only in a demo.
SYSTEM ARCHITECTURE
Product layers.
Mobile Client01 / SYSTEM LAYER
Finance Domain API02 / SYSTEM LAYER
Transaction & Receipt Pipeline03 / SYSTEM LAYER
AI Insight Layer04 / SYSTEM LAYER
Analytics & Notifications05 / SYSTEM LAYER
Cloud / Observability06 / SYSTEM LAYER
CAPABILITIES
What the system needs.
Spending intelligenceTransaction categorizationReceipt workflowsAI explanationsPersonal analyticsSecure cloud sync
ENGINEERING EVIDENCE
Not marketing claims. Engineering discipline.
We design beyond the happy path: recovery, retries, rollback and degraded modes are part of the model.
Logs, metrics, traces and product telemetry exist before release, not after an incident.
Quality/security gates and controlled rollout are part of the engineering process.
DELIVERY MODEL
From architecture to production.
01Product / architecture review
02Core system build
03Security + QA gates
04Controlled release
05Telemetry + iteration
ENGINEERING DEPTH
CHEK as a fintech product system
CHEK combines a mobile client, spending logic, analytics, secure backend and an AI layer in one system. Financial products need predictable data flows, permission boundaries, auditability and careful separation of transaction-related logic.
AI features should support real user decisions such as categorization, spend explanation, pattern detection and personalized guidance. The model layer stays isolated from critical financial logic behind controlled interfaces.
Production readiness includes telemetry, crash monitoring, release gates, secure local storage, API security, migration discipline and backend observability.