AI Researcher · Full-Stack Engineer · Founder of DEVUP AI
I study how AI models work, and build products people can use.
devupdz.com · Personal portfolio ↗
Based in Algeria · Arabic / French / English
I'm an independent AI researcher working on mechanistic interpretability, sparse autoencoders and causal validation. Alongside research, I build AI infrastructure, developer tools and digital products.
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FEATURED PAPER · arXiv PREPRINT · JULY 2026
A Reproducible Audit of Sparse Autoencoder Features, from Superposition Geometry to Causal Inertness Does a geometrically recovered feature actually affect model behavior? My work audits SAE features through activation checks, ablation and steering, separating decoder alignment from causal evidence. Mohamed Abdessalem Bal · Mechanistic interpretability · Reproducible evaluation |
From API architecture to the interface: I work across the full product, with local payments, multilingual experiences and useful developer workflows in mind.
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DEVELOPER TOOLING
An AI coding assistant for VS Code, Cursor and Google Antigravity, connected to the DEVUP ecosystem. Understand context. Work with selections, files and workspace context. |
From model training and causal research to coordinated agents, full-stack applications and production infrastructure.
Research → Train → Connect agents → Deploy
Connecting models, tools, memory and specialized agents into coordinated workflows.
Applied AI: LLM integrations · RAG · Embeddings · Semantic search · Streaming · Structured outputs
How I approach engineering
- Design clear API contracts and documentation alongside the implementation.
- Make changes easy to review, validate and recover.
- Treat language, payments and local constraints as product requirements.
- Distinguish a promising model result from evidence that survives intervention.
Click a preview to open the full certificate.
Open to conversations about interpretability, AI infrastructure and developer tools.
Portfolio ↗ · Let's build something useful ↗





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