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Maxmus studio

Maxmus studio

AI Engineer & Backend Developer | Python, FastAPI & Flask

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Followed by Joshua D, Ordain I, and Daniel I

New York, USA

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New York, USA

Cover image for Managing local logistics with fragmented
Managing local logistics with fragmented spreadsheets, messaging apps, and phone calls usually leads to zero real-time visibility over fleet availability, missed maintenance schedules, and lost waybills. I built FleetMS to streamline end-to-end delivery operations for small and medium-sized logistics enterprises (SMEs). It gives operations teams a central dashboard to monitor real-time vehicle utilization and delivery lifecycles, while giving drivers an uncluttered interface to execute daily waybills with zero overhead. What it handles: Central Operations Console: Real-time visibility into active deliveries, vehicle status, and 30-day volume trends. Driver Dispatch View: Clear pickup and drop-off coordinates, itemized package breakdowns, and direct call actions built for fast field execution. What part of this workflow causes you the most friction tracking vehicle availability in real time or keeping drivers updated on multi-stop waybills?
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Cover image for BizLive: Real-Time Messaging & Live Streaming Architecture
BizLive: Real-Time Messaging & Live Streaming Architecture
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Cover image for MaxCinema: Flask Backend & Automated Content Management
MaxCinema: Flask Backend & Automated Content Management
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Cover image for Building AI for healthcare leaves
Building AI for healthcare leaves zero room for error. I’m currently collaborating with an incredible team on Raphald AI, a medical detection application. Building the systems for a project with stakes this high is a massive reminder that the underlying backend architecture matters just as much as the machine learning model itself. When integrating diagnostic AI, your API endpoints cannot drop requests, and your database workflows demand absolute integrity. You aren't just passing JSON payloads; you are handling critical, real-time workflows where stability is non-negotiable. Engineering these systems continues to shape my approach to building robust Python backends. If you are developing a product that requires reliable AI integration or rock-solid FastAPI infrastructure, check out the newly updated services on my profile. Let's build something that works when it counts.
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