I am Muhamad Fikri, an Electrical Engineering student at ITB building at the intersection of applied AI, backend systems, infrastructure, and security. I tend to work from first principles: understand the constraints, model the system clearly, then ship something that can be operated and improved.

My recent work adds AI product engineering to that foundation. In AIN Hire, I treated the model as one component in a controlled workflow: the interview is bounded by a deterministic state machine, scoring is separated from conversation, evidence is retained for review, and a recruiter remains responsible for the final decision. That is the kind of AI system I find compelling—useful, inspectable, and designed around human accountability.

A recurring theme in my other projects is bridging software and real-world systems: eMRTD and smartcard security, sensor-to-dashboard IoT pipelines, and practical platform work with Linux, Ansible, Podman, Nginx, health checks, and runbooks. I prefer architectures that are understandable, testable, and maintainable after the demo ends.

I also enjoy turning rough ideas into structured scopes: clear requirements, realistic milestones, measurable tradeoffs, and interfaces that work for non-technical users. Long-term, I am especially interested in energy and data-center adjacent work where software, infrastructure, and physical systems have direct impact.