Focus on high-level system architecture, computer vision infrastructure,
embedded hardware engineering, and autonomous AI orchestration layers.
Core Technical Highlights
// Systems Engineering & Machine Learning
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Designed and deployed a production-grade MultiModal LLM fraud detection
system using vision models to parse refund images, scaling directly into
regional delivery infrastructure — adopted by
Delivery Hero →.
-
Built LeastGen — a transparent inference optimizer that
routes 95.1% of agent queries to local cache at
0ms latency, saving 715M tokens
on a single GPU, using two VRAM-pinned specialized models (3B Planner + 4B Executor)
—
LeastGen →.
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Bootstrapped an AI B2B venture serving
10+ clients across public sector, private sector, and
banks — 300k SAR revenue at a
66% average profit margin. Among its projects: a
drive-through loyalty system using automatic license-plate recognition,
developed to prototype.
// Hardware & Rapid Prototyping Stack
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Programmed custom firmware and hardware integrations across ESP32 and
Raspberry Pi environments for IoT automation and modular robotics.
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Structured multi-part mechanical enclosures and rapid-prototyping iterations optimized
for structural shells using Bambu Lab ecosystems.
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Built a DIY mini-supercomputer — one reusable USB image that turns
recycled PCs and laptops into a self-healing k3s cluster
(52 vCPU / 82 GB),
with offline autoinstall, Tailscale mesh, and one-command joins —
DIY Mini-Supercomputer →.
Theoretical & Engineering Essays