Fares Chehidi
Engineer exploring
how systems learn,
converge, and evolve.
Backend engineer. Builder of systems with clarity, structure, and intention.
About
The Geometry of Systems.
I build systems — technical and human — with clarity, structure, and intention.
My work explores how complexity becomes legible, how constraints shape behavior, and how learning emerges inside a system.
I think in layers, invariants, and flows — designing architectures that evolve instead of breaking.
Projects
Things I’m building.
Personal explorations in systems design, distributed infrastructure, and product engineering.
On-call and incident management SaaS focused on clarity, escalation flows, and operational resilience. Predictable ownership, reduced cognitive load during high-pressure events.
HPC network engine in Rust + assembler. Pollers, zero-copy buffers, IO scheduling and SIMD optimizations — built to understand and master low-level primitives from the ground up.
Production-grade HTTP API Gateway in Go — reverse proxy, JWT auth, rate limiting and circuit breaking. Built gate by gate, the right way.
Accounting automation SaaS. Structured workflows, reconciliation logic, explicit invariants, and auditability as a first-class concern.
Modern financial operations platform for PME/SME across Québec & Ontario. Unified real-time view of cash flow, taxes, and multi-entity operations — built around automation, accuracy, and auditability.
TypeScript Next.js LangChainWriting
Thinking out loud.
Notes on systems, learning, and engineering.
Internal Didactics Log
Public research notes on systems architecture, model design, cognitive invariants, and computational reasoning. Where intuition meets formalism.
fcidl.comUnderstanding Claude’s Reasoning Schemes Through a Single Image
A spontaneous, unfiltered log of how a single multi-panel image revealed the hidden reasoning gestures inside Claude’s cognitive process.
Read entrySystem Architecture Notes — Raw Annotations
Raw annotations on kernel behavior, SKE protocol characteristics, cognitive load, and early architectural hypotheses.
Read entryInternal Didactics: How a System Learns to Understand Itself
On metacognition in engineered systems — how structure enables self-correction, and why the shape of a system encodes its assumptions about the world.
Read on MediumContact
Let’s connect.
Open to interesting projects, conversations, and collaborations.