I'm Md. Ariful Haque — a Technical Lead and AI-enabled Full Stack Architect with 13+ years designing enterprise SaaS, cloud-native systems, and AI-powered automation for clients across the US and beyond.
From building my first enterprise application in 2011 to architecting AI-powered SaaS today — every system I build is shaped by one belief: great software is invisible, but never accidental.
I'm an Engineering Leader with over 13 years of enterprise software experience and a forward-leaning interest in everything AI. I've shipped platforms for healthcare, marketing, government, IoT, and HR-tech — most recently leading multi-tenant SaaS products for clients in the United States.
Today, my focus is at the intersection of scalable architecture and applied AI: integrating LLMs into production workflows, automating manual processes with intelligent agents, and bringing computer vision into real-world surveillance systems.
I currently lead a team of 8–15 engineers at InsightIn Technology, where I balance system design, mentorship, and hands-on coding — because the best architects never stop building.
I help organizations move beyond rule-based automation. By embedding LLMs, computer vision, and intelligent agents into core workflows, I turn slow, manual operations into systems that learn, adapt, and scale.
Replacing brittle if-else chains with reasoning agents. From CV parsing in ATS pipelines to context-aware customer engagement, I design LLM workflows that actually ship.
Built production-grade surveillance with face recognition and associative detection — handling live video streams, model serving, and asynchronous processing at scale.
I treat prompts like production code — versioned, tested, and instrumented. From chatbots to autonomous content generators, I architect AI workflows that are reliable and observable.
Backend, frontend, cloud, and AI — fluent in the entire delivery stack. Below are the technologies I work with daily, organized by domain.
A selection of platforms I've architected and delivered — spanning healthcare, marketing tech, government systems, AI surveillance, and IoT.
A multi-tenant SaaS platform built for US health insurers — improving member engagement, retention, compliance, and Next Best Action workflows. Integrated with multiple third-party vendors for end-to-end automation.
An AI-powered surveillance platform with real-time face recognition and associative detection. Built end-to-end — from model serving to async event pipelines — deployed on Linux VPS infrastructure.
Multi-tenant SaaS for campaign-based marketing with fully dynamic landing page generation and dozens of third-party API integrations — designed for non-technical marketers to launch in minutes.
A modern, cloud-native SaaS for digital tipping and staff engagement — built on .NET 8 with a clean Angular frontend, Stripe payments, and Azure infrastructure designed for global scale.
Enterprise IoT dashboard for energy, water, environment, and asset management — collecting live status from IoT devices via MQTT and visualizing telemetry through a real-time Angular dashboard.
End-to-end recruitment SaaS with job publishing, AI-driven CV parsing, candidate workflows, and Twilio + Microsoft Graph integrations for seamless communication and scheduling.
A government solution for vaccine production, quality control, inventory, procurement, and manpower management — replacing paper-based workflows with a unified digital system.
A schema-based, fully dynamic ERP solution adaptable to any business domain — letting non-developers configure modules, forms, and reports without writing code.
From junior engineer to technical lead — 13+ years of growing alongside the platforms I've built.
A curious mind doesn't stop at work. When I'm not architecting systems, I'm out exploring, building community, or chasing a good game.
Whether you're modernizing a legacy system, scaling a SaaS platform, or exploring AI integration — I'd love to hear about it.