SAIF AHMAD
Chief Digital Officer / CTO specialising in cloud transformation, AI-enabled financial platforms, microservices modernisation, and high-scale digital product delivery across FinTech, PropTech and E-commerce sectors.
25+ years leading engineering organisations up to 150+, modernising enterprise platforms, delivering measurable revenue growth, and building secure, compliant, and scalable digital ecosystems.
Key Achievements
Platform Reliability
Achieved 99.95% uptime across lending and digital platforms via cloud-native microservices and Kubernetes optimisation.
Cost Efficiency
Delivered 18% infrastructure cost reductionthrough containerisation, DevOps automation, and workload consolidation.
AI & Product Innovation
Designed and launched PropGenius.ai — an AI-powered property analytics platform using ML and Generative AI for predictive insights.
System Design & Architecture
Architected large-scale, high-availability platforms with strong data integrity, observability, and resilience baked into every layer.
Team Scalability & Development
Built and developed multi-disciplinary engineering teams with a strong culture of ownership, velocity, and technical excellence.
Technology Governance
Strengthened organisational technology discipline through structured reviews, change management, documentation, and quality controls.
For You
View all articlesEngineering Reliability at Scale: A Technical Journey into Building a Distributed Fintech Lending Platform
A practitioner’s blueprint for designing a resilient lending platform: bounded-context microservices, event-driven orchestration, CDC pipelines, workflow engines, and reliability patterns for payments and partners.
Built for Many, Broken by None: Multi-Tenant Platforms that Refuse to Fail
A 360° guide to multi-tenant marketplaces: how to handle thousands of divergent sellers without collapsing, covering data models, rules engines, isolation, and scale war stories.
Why Companies Struggle with Analytics and AI: The Absent Data Architecture Foundation
A deep technical reflection on why organisations fail at analytics, AI, data quality, and reliability, not because of weak code, but because their data architecture is missing or broken.
Explore
More sections including Projects, AI Work, and Thought Leadership coming soon.