Chakib Belgaid

Full-stack Product Engineer for AI systems and developer tools.

Ph.D. in software engineering with 10+ years across product delivery, backend and applied AI, from founder-led mobile products to research-grade measurement infrastructure and production agent workflows.

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60%Inference latency reductionEvidence: MCQ Scan local-model optimization

100+ nodesPowerAPI deploymentEvidence: PowerAPI deployment at Qarnot / Inria

98kpyJoules total PyPI downloadsEvidence: pyJoules open-source project

Whisperbook

An offline-first Android app that turns local EPUB and PDF books into synchronized, multi-voice audiobooks without an account, cloud upload or runtime network access.

Role: Chakib designed and built the Android product end to end: document import and extraction, chapter preparation, explainable speaker attribution, local voice casting, progressive Supertonic 3 synthesis, Media3 playback, synchronized reading and offline MP3 export.
Architecture: A single-module Kotlin/Compose app copies the selected publication into private storage, extracts EPUB or PDF text, detects chapters and speakers, persists the library in Room, and prepares opening audio through WorkManager. Supertonic 3 generates finalized local WAV segments that Media3 can play progressively while later chapters continue preparing.
Technology: Kotlin, Jetpack Compose, Room, DataStore, WorkManager

Whisperbook Android now-playing screen with offline status, chapter, speaker, playback, seek, timer and voice-cast controls — Now Playing keeps the active speaker, chapter controls and offline state visible on the production Compose surface.

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Wattch Core

A protocol-first Rust measurement spine that separates privileged energy acquisition from unprivileged CLI, Python and VS Code workflows while preserving replayable raw evidence.

Role: Chakib designed and implemented the daemon/client boundary, typed protocol and validation model, Linux RAPL and synthetic acquisition paths, replayable CLI artifacts, the pywattch client and the Energy Tests developer workflow.
Architecture: A privileged wattch-powerd daemon reads Linux RAPL counters or a synthetic source and serves strict, versioned frames over a local Unix socket. Unprivileged CLI and Python clients capture source descriptors and raw sample batches into immutable run artifacts; inspection, tests and later interpretation stay outside the acquisition path.
Technology: Rust, Linux, RAPL, Unix sockets, CLI

Terminal transcript from Wattch's deterministic test daemon — Real dry-run output from the checked-in deterministic laptop scenario; it is protocol evidence, not a hardware-energy claim.

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Product interfaces

Kotlin/Compose and React/TypeScript
Workflow design
Accessible, responsive UI

APIs and backend

Python and FastAPI
Storage and job orchestration
Cloud deployment and CI/CD

Applied AI workflows

Agent orchestration
Local/open models
Structured outputs and evaluation

Systems and infrastructure

Rust and Linux
Measurement protocols
Reproducible benchmarking

2024–present

MCQ Scan

AI Research Engineer / Lead AI Engineer

Leads production-facing agent workflows, model optimization, APIs, frontend integration and deployment.

2022–2024

Qarnot Computing / Inria

Software Engineer / Research Engineer

Moved energy-measurement research toward operational infrastructure and deployed PowerAPI across 100+ nodes.

2018–2022

University of Lille / Inria

Ph.D. Researcher

Doctoral research on green coding and empirical, energy-aware software engineering.

2014–2018

Funecs

Co-founder / CTO

Led product, engineering and client delivery for a serious-games advertising startup.

Interactive lab

Systems Garden

A separate creative-engineering experiment that turns systems concepts into a playable voxel world. It loads only when you choose to enter.

The interactive experience is in English.

Enter the garden

Bird-view capture of the Systems Garden interactive lab