Case Study12 min read
How We Reduced a Fintech's NPL Rate by 44 Points in 3 Months
A detailed breakdown of the AI-driven risk scoring system we built, the infrastructure changes required, and the measurable business outcomes.
Read articleMLOps · AI Strategy · Fintech & Retail
I help get your AI into production and keep it reliable.
When the model is promising but the production path is unclear, I help close the gap with MLOps strategy, pipeline build, and knowledge transfer so your team can own what ships.
Olusola Akinsulere — Founder, QuantaBridge Labs
10+
Years in Production Systems
$500K+
in Client Savings
44pt
NPL Drop · Digital Lending
99.9%
Uptime Delivered
Who This Is For
I work with companies ready to move beyond the pilot phase.
If you need more than recommendations, I help turn the roadmap into systems your team can run in production.
You have a working model and nowhere to deploy it.
The proof-of-concept impressed the board. Now it's six months later and it's still sitting in a notebook. Your systems may need a clearer production path, and I can help close that gap with architecture, build, and handover.
You've already tried an AI initiative that did not land.
A vendor delivered a technically impressive demo, but it never reached production. The next step needs systems thinking: deployment pipelines, monitoring, reliability, and ownership under real load.
You need a technical partner who can make decisions.
You're a CTO, VP Engineering, or founder carrying the architectural risk. I bring clear technical judgment, thoughtful pushback, and the discipline to transfer that thinking to your team.
Your legacy stack needs a practical path forward.
Monolith to microservices. Batch to real-time. On-premise to cloud-native. You know it has to happen. I help plan and execute the move with production experience, clear tradeoffs, and a strong bias for keeping the business moving.
What I Believe
Strong AI work needs both strategy and production engineering.
I'm Olusola Akinsulere. I spent a decade building production systems before I started consulting — loan decision engines, real-time event pipelines, payment infrastructure at scale. Systems that couldn't go down. I also built RetailLoop, a retail intelligence platform — which means I understand both sides of the table: the infrastructure that powers AI and the business problems it has to solve.
What I see often is simple: the model is not always the blocker. The production path is. Companies get excited about the prototype, then need the MLOps, monitoring, and deployment pipeline that turn a demo into a dependable product.
That's the gap I'm here to close. I design the strategy, build the infrastructure, and ship systems that run in production — with your team trained to own them after handover. Based between Lagos and Helsinki. Working globally with fintech and retail companies that are ready to move from experimentation to delivery.
What I Deliver
MLOps & AI Strategy.
From “should we invest in AI?” to “it's live, monitored, and your team owns it.”
MLOps & AI Strategy
Many AI projects stall between prototype and production. I help close that gap by designing the MLOps infrastructure, model deployment pipelines, and monitoring systems your models need to run reliably. The strategy comes first: which use case, which architecture, build vs. buy — then we build it.
- MLOps/LLMOps pipeline design & build
- Model deployment & monitoring
- AI Readiness Audit
- Use case prioritization & ROI modeling
- Production ML infrastructure
- Knowledge transfer to your team
Phase 1
AI Readiness Audit
Assess your current architecture, data maturity, and engineering practices. You get a written roadmap with prioritized recommendations — whether or not you continue.
Phase 2
Pipeline Build & Deployment
I build the MLOps infrastructure, deploy the pipelines, and ship production-ready systems with practical execution behind the recommendations.
Phase 3
Team Enablement
Your team owns what we built through documentation, runbooks, and hands-on training. The goal from day one is confident handover.
Case Studies
Real results. Real production.
Every project here shipped to production and delivered measurable business outcomes — across AI, payments, distributed systems, retail, and IoT.
44pp NPL reduction
AI / Compliance
AML/KYC/KYB Compliance Platform
Built AI-powered compliance infrastructure for a digital lending platform, automating identity verification and risk assessment that previously required manual review for every application.
Key Impact:
- NPL rate reduced from 90% to 46% (44pp improvement)
- 15% improvement in customer onboarding time
- Automated 80%+ of manual KYC reviews
- $30K/month loan volume with improved risk scoring
PythonMachine LearningNode.jsPostgreSQLAI/ML Pipelines
$500K+ in savings
Digital Transformation / Payments
Payment Implementation & Decision Engine
Led end-to-end digital transformation including payment integration, Temporal workflow migration, and intelligent loan decision engine development for a financial services group.
Key Impact:
- 60% improvement in p95 response times via Temporal migration
- Loan decisions fully automated end-to-end
- Zero-downtime deployment pipeline established
- $500K+ in operational savings through modernization
GoPythonPostgreSQLTemporalAPI Integration
More Work
Fintech / API Infrastructure
Payment Gateway & API Infrastructure
99.9% uptime
GoNode.jsPostgreSQL
Enterprise / Retail
Scalable Retail Backend Systems
$120K/qtr overstock prevented
GoPythonRedis
Engineering / Infrastructure
Distributed Systems & Cloud Architecture
10x traffic spike handled
GoDockerKubernetes
IoT / Hardware Integration
IoT & BLE Device Integration
Sub-100ms latency
Node.jsBLE/GATTIoT Protocols
Your model may be ready. Let's make sure the infrastructure is too.
A free 30-minute call helps identify the production gaps — no commitment required. Just a clear picture of where you stand and what it would take to ship reliably.
From Engineers I've Trained
I build the team, not just the system.
Feedback from engineers I've mentored through the Formation program — showing how I approach team enablement, not just individual contribution.
View client recommendations on LinkedIn“A definite plus on any team. Being privileged to work with him in multiple capacities and companies has been a great experience. He always sees the big picture, calls out potential bottlenecks way before they happen, and always takes ownership of tasks and features from ideation to execution. A textbook definition of a 10x developer. His positivity makes him a great team player and he is always loved by his peers, colleagues, direct reports and even managers. His unique blend of empathy, expertise and excellence makes him an invaluable asset to every organization.”
Solution Architect, Paystack
“The Formation program connected me with Olusola, whose feedback on my loan servicing system was exceptional. He didn't just review code — he helped me rethink the architecture for better scalability and maintainability.”
Software Engineer, Formation Fellow
“Olusola's approach to engineering mentorship is unique — he focuses on real-world patterns and production readiness, not just theory. His feedback on my API design fundamentally improved how I think about system architecture.”
Full Stack Developer, Formation Fellow
Make the Production Path Clear
Your model is promising. Let's make it production-ready.
In two weeks you'll have a clear picture of the production gaps, the MLOps pieces to prioritize, and the technical decisions that need attention. No commitment to a longer engagement. Just a practical roadmap for moving forward.
“Olusola delivered what three previous vendors couldn't. Production-ready, on time, with knowledge transfer built in.”
CTO, Digital Lending Platform