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Emilio Melis

CS engineering student at Polytech Tours and AI research intern at HEC Montréal (Summer 2026). I focus on native systems, edge AI runtimes, and low-level performance.

Portfolio / LinkedIn


I build software that runs directly on constrained hardware:

Projects

AI and on-device inference

  • llmedge – Android wrapper for llama.cpp, stable-diffusion.cpp, whisper.cpp, and ONNX. Handles native runtime pooling and OpenCL/Vulkan/CPU fallback logic to prevent crashes on device-specific drivers.
  • LightDiffusion-Next – Stable Diffusion pipeline and desktop GUI built in PyTorch. Uses custom batching and memory layout optimization to squeeze inference speed out of low-VRAM GPUs.
  • EasyReader – Manga and PDF reader for Android. Integrates llmedge to run chapter summaries and text-to-speech entirely offline.

Systems and low-level

  • Pilotrs – A no_std Rust flight simulator and autopilot. Implements MEKF/complementary filters for state estimation and PID/LQR loops for attitude control.
  • FrameLimiter – macOS frame pacer for Metal games. Hooks CAMetalLayer's nextDrawable via DYLD injection to apply backpressure, reducing GPU power draw and heat.
  • CChess – A chess engine written in C using bitboards, alpha-beta pruning, and iterative deepening.

Technical stack

  • Languages: C/C++, Rust, Python, Kotlin, Objective-C
  • Domains: On-device ML, sensor fusion, graphics (Metal), system hooks, control loops
  • Tools: NixOS (Flakes), Git, ADB, PyTorch, Android NDK

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