Architecting
Digital Excellence.

Afif Alamgir is a software engineer specializing in production-grade SaaS platforms and AI automation systems. He focuses on scalable, integration-heavy products built on Next.js, Node.js, Supabase, and serverless architectures, designed to solve real business problems rather than isolated features.

His work spans multi-tenant SaaS applications, CRM and marketing automation pipelines, analytics dashboards, billing systems with Stripe, and AI-driven content generation tools. He has integrated with Meta APIs, Google services, and AI providers including OpenAI, Anthropic, and Google Gemini.

Afif emphasizes performance optimization, system reliability, and cost-efficient API usage. His architectural decisions have produced significant reductions in external API call overhead. He is experienced in webhook-based systems, background job processing, multi-tenant database design, and scalable backend workflows.

He has published research in machine learning through Springer, with work on Binarized Neural Networks and sign language recognition systems. He bridges experimental AI research and production-ready implementations, and is currently focused on distributed systems and cloud-native architectures.