SENIOR AI ENGINEER · AGENTIC SYSTEMS & BACKEND
I design and build production software across AI agents, backend systems, integrations, and modern web applications.
fahimmaria155@gmail.com · github.com/er0r · linkedin.com/in/md-fahim-hossen-47091b15b
Building useful software.
From idea to production.
QNE Software Malaysia Sdn Bhd
Contributing to QNE’s agentic orchestration platform, QuinnyAI, which works as a Virtual CFO for accounting workflows. Building agent workflows, .NET backend services, MCP integrations, and WhatsApp and Telegram channels.
Flipbizz Innovations Malaysia Sdn Bhd
Architected software systems and database designs, led backend service and API development, and collaborated across product teams. Mentored junior engineers and conducted code reviews to maintain code quality.
Cleinsight
Focused mainly on backend development, building REST APIs with Laravel, Node.js, and NestJS, alongside infrastructure work using AWS, Kubernetes, Docker, and serverless technologies.
SJ Innovation LLC
Contributed to client projects using Laravel, PHP, MySQL, WordPress, and MERN-based applications.
Universiti Putra Malaysia
Course-based programme · CGPA 3.75 · Machine Learning · Research Methodology · Research topic: Detection of Disease ↗American International University-Bangladesh
CGPA 3.68 · Machine Learning · Operating Systems · Object-Oriented Analysis & Design · Data Structures · Algorithms · Database Systems · Software EngineeringRun coding tasks in your own folder with Claude Code or Muse Code. Choose a provider, model and reasoning level for planning, implementation and review. Multiharness hands over the task, runs your configured checks and sends review findings back for fixes. It runs locally through Docker, keeps progress compact and backs up included files before editing. No Git repository is required.
An AI lead-handling product for repeated customer questions and conversations across business channels.
An invoice management backend for creating, organizing, and tracking invoices through a structured API.
A precision-agriculture project that detects plant diseases from images and connects the prediction to an AI-assisted risk-mitigation advisory workflow.
A full-stack workspace that traces Azure DevOps contributions from work items and pull requests through builds and deployment evidence.