Clément Nunes

Systems engineer at Inria, working with the STACK team on a cloud environment for prototyping real-time environmental monitoring applications.

After several years as a freelance software engineer across numerous projects, I shifted in 2025 toward independent projects and more scientific problems.

I learn by building from-scratch prototypes with few dependencies to understand the underlying principles in depth.

Drawn to challenges at the intersection of distributed systems, artificial intelligence, mathematics, and physics.

Malt ProfileGitHubLinkedIn

Projects in progress

Chicago SAGE Hackathon — Resilient Urgent Orchestrator

Edge orchestrator built in Chicago during the NSF-supported SAGE Grande Summer of AI. It gives urgent camera tasks priority when computing power is limited.

Mortimus / morty-vision

Edge AI for early wildfire-smoke detection. It filters camera images locally and calls a vision model only when needed.

VLA Manipulation Policy

Vision-Language-Action model for robotic manipulation in simulation (MuJoCo / Isaac Sim).

Stanford CS231n: Deep Learning for Computer Vision

Stanford's course on deep learning for computer vision: CNNs, object detection, and image segmentation.

MIT 16.485: Visual Navigation for Autonomous Vehicles

MIT course on autonomous navigation: visual odometry, SLAM, sensor fusion.

Simple-Ijepa

Exploring Simple-Ijepa (experimentation mode) for visual representation learning.

RNN RWKV (experimentations)

Experimenting with RWKV: a modern RNN with linear complexity, a lightweight alternative to Transformers.

2026 — Current Skills

Systems
Distributed SystemsRustC/C++AsyncParallel Computing
Backend
PythonNode.jsBunHono
DevOps
KubernetesDockerPodmanGit
Cloud
OpenStackCloudStack
Data
TimescaleDBSQLNoSQLPostgreSQLCloudflare D1
Observability
OpenTelemetrySentryGrafanaPrometheus
Frontend
TypeScriptReactReact RouterNext.js
Machine Learning
JAXTensorFlowPyTorch
Functional/Logic
PrologOCamlMinizinc

Education

M.S. in Artificial Intelligence

Université d'Angers, France

Master’s degree in computer science focused on advanced methods in algorithms, modeling, and optimization.

Experience

Inria — STACK / QUICK

2026 - present

QUICK project: developing a cloud-native platform to collect real-time environmental data, run distributed services, and prototype applications through Python notebooks.

PythonKubernetesDockerJupyterDistributed SystemsCloud-native

Historiscope

2024 - 2026

Initially designed to provide a content editor for the La Route des signes lapidaires project (2024), this application was intended to be extended to other clients. A customizable interactive application for showcasing history through immersive content. Development of advanced 3D visualization modules, including Gaussian Splatting and massive point-cloud rendering.

React Three FiberGaussian SplattingPoint CloudsTypeScriptNext.js

Saatchi & Saatchi - Publicis

2023 - 2024

Front-end developer at Saatchi & Saatchi through an IT consulting firm.

VercelReactNext.jsTailwindTRPCEffect-TSStorybookCI/CD

Elevator Lab

2021 - 2023

CRM for companies specializing in energy efficiency. Implemented end-to-end tests, CI/CD pipelines, and a custom design system.

MongoDBExpressReactAnt DesignZod

ArtiZzen

2019 - 2020

Applications that let craftspeople publish products on the main sales platforms in one click.

MongoDBExpressReactTailwind

FlatsWire

2019

Complete SaaS toolkit for efficient furnished rental management.

MongoDBExpressReactMaterial UI