LIVE IN PRODUCTION
SabiScore sustains 99.9%+ uptime on a 90-day Prometheus window — ensemble XGBoost, LightGBM, and CatBoost inference with 45% MTTD improvement.
PRINCIPAL BACKEND ENGINEER · INFRASTRUCTURE & SRE ARCHITECT · AI SYSTEMS
That's not a slogan. It's a design constraint.
Sub-150ms API · 99.9%+ uptime · 40% ops reduction · 95% test coverage
I build backend systems that keep fintech products alive, compliant, and fast — whether it's a quiet Tuesday or a FIRS audit season.
Tax filing time: 4 hours → 15 minutes. Zero data-loss record across three production systems.
LIVE IN PRODUCTION
SabiScore sustains 99.9%+ uptime on a 90-day Prometheus window — ensemble XGBoost, LightGBM, and CatBoost inference with 45% MTTD improvement.
DECISIONS DOCUMENTED
Every tradeoff — Chosen, Over, Because — is written out, not summarised. Architecture reasoning at every level, legible without clicking a link.
ZERO-DOWNTIME DESIGN
Health checks, idempotent job queues, circuit breakers, and environment-scoped rate limits — in the baseline, not added after an incident.
FULL STACK OWNERSHIP
Feature engineering through FastAPI inference to the Next.js frontend. One engineer, complete ownership — no handoff latency, no translation loss.
Product interfaces, backend platforms, and production operations delivered as one system. Each case study includes decision rationale, constraints, and measurable outcomes.
Nigerian SME tax filing from 4 hours to 15 minutes — NRS-integrated, audit-ready.
CHOSEN
PostgreSQL Row-Level Security for multi-tenancy
OVER
Application-layer tenant filtering
BECAUSE
NRS audit scrutiny demands proof that tenant data cannot cross-contaminate — RLS enforces this at the database engine level, not the application layer
Production ML prediction and self-monitoring platform for live decision windows.
Ensemble credit and prediction scoring (XGBoost, LightGBM, CatBoost) with real-time output quality monitoring. Alerts engineers the moment a model begins degrading — before any user is affected. 99.9%+ uptime (Prometheus · 90-day window). ~30% inference latency reduction via query optimisation and Redis caching. 45% MTTD improvement over reactive alerting baseline.
CHOSEN
FastAPI + Redis Pub/Sub for inference serving
OVER
Synchronous REST with database polling
BECAUSE
Sub-50ms event fan-out at sustained load with dead-letter recovery — impossible with polling under concurrent sessions
Multi-chain encrypted data transfer with ZK-proof regulatory compliance.
Backend for secure, verifiable transfer of sensitive data across Ethereum, Polygon, BSC, and StarkNet simultaneously. Multi-GB AES-256 payloads with automatic retry and full transaction audit records. ZK-SNARK proof pipelines for GDPR-compliant regulatory reporting. 90% integration test coverage. Zero data-loss record throughout.
CHOSEN
ZK-SNARKs for regulatory proof generation
OVER
Centralised compliance oracle with full data exposure
BECAUSE
GDPR mandates minimum data disclosure — ZK proofs validate compliance without revealing payload contents to the verifier
Node.js · PostgreSQL
Enforces strict database-level data separation between clients. One tenant's records are completely invisible to another even when application-layer bugs exist. Used in production by fintech teams.
Fintech · Compliance
Generates a cryptographically linked audit log where every entry is mathematically bound to the previous one. Makes retroactive edits or tampering instantly detectable. Built for NRS and GDPR trails.
AI · DevOps
Streams live system logs and traces to an AI model, which returns a ranked plain-English list of likely root causes — compressing hours of manual incident investigation into minutes.
15+ merged contributions to XGBoost & scikit-learn · 12 public repositories
52 skills across architecture, infrastructure, compliance, and full-stack delivery from PostgreSQL RLS through Spring Boot, Go services, and production ML.
ML & AI
ML & AI
ML & AI
ML & AI
ML & AI
ML & AI
Backend & APIs
Backend & APIs
Backend & APIs
Backend & APIs
Backend & APIs
Backend & APIs
Backend & APIs
Backend & APIs
Backend & APIs
Fintech & Compliance
Fintech & Compliance
Fintech & Compliance
Fintech & Compliance
Fintech & Compliance
Fintech & Compliance
Data & Storage
Data & Storage
Data & Storage
Data & Storage
Data & Storage
Data & Storage
DevOps & SRE
DevOps & SRE
DevOps & SRE
DevOps & SRE
DevOps & SRE
Frontend & Full-Stack
Frontend & Full-Stack
Frontend & Full-Stack
Frontend & Full-Stack
Frontend & Full-Stack
Blockchain & Web3
Blockchain & Web3
Blockchain & Web3
Blockchain & Web3
ML & AI
ML & AI
ML & AI
ML & AI
ML & AI
DevOps & SRE
DevOps & SRE
DevOps & SRE
Backend & APIs
Backend & APIs
Frontend & Full-Stack
BACKGROUND
That's not a slogan. It's a design constraint.
Fullstack engineer and platform architect with four years of independent product and consulting work — shipping a tax compliance platform, an AI-powered observability tool, and an encrypted blockchain data system.
Before that, over a decade building and maintaining critical data infrastructure within Nigeria's federal public sector — UBEC — managing ETL pipelines, dashboards, and state-level federal budget allocation systems touching every state in the country, and West Africa and Europe.
Non-CS academic background (B.Tech Environmental Technology, FUTO, 2006–2011). Technical credibility built through a decade of production-grade engineering, four active cloud certifications, and 15+ merged upstream contributions.
During my time at Nigeria's Universal Basic Education Commission, I built the data systems that tracked school funding across every Nigerian state — federal-scale infrastructure, not side projects.
Lagos precision. Global scale.
AWS Certified Developer
Dec 2023
GCP Associate Cloud Engineer
Aug 2023
OpenJS Node.js Services Developer (JSNSD)
May 2024
PostgreSQL 14 Associate
Mar 2024
Long-form breakdowns of shipping decisions, platform constraints, and what continues to hold when production stops being polite.
How ensemble model selection, Redis caching, and graceful fallback shaped a production ML API under uneven infrastructure conditions.
Next article
In progress. A new deep-dive is currently being prepared for this section.
Available for both sides: technical co-founders and hiring managers.
STAFF+ / PRINCIPAL
Available for Staff+ and Principal Backend roles at fintech and AI-native product companies. Four years of independent platform work — user-facing product surfaces, multi-tenant PostgreSQL RLS, idempotent BullMQ queues, and zero-downtime deployments as a baseline constraint.
TECHNICAL CO-FOUNDER
Four years shipping production platforms from zero. Backend infrastructure, compliance architecture (NDPC, NRS/DigiTax), and observability through early funding rounds. The system should outlast the seed deck.
INFRASTRUCTURE CONSULTING
Scoped engagements: production incident remediation, architecture review, Nigerian tax compliance integration (NTA 2025 / NRS 2026), and ML inference pipeline optimisation. Deliverable-led, not hourly.