Skip to content
View lourosscs50's full-sized avatar
1 follower · 0 following

Block or report lourosscs50

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
lourosscs50/README.md

Lou Carron

Software engineer focused on building platform-level systems and modular architectures.

🚀 Current Focus

I’m building a layered ecosystem of systems designed to support scalable, controlled, and observable software platforms:

  • A.I.L. (AI Intelligence Layer) — a modular platform for managing and executing AI workflows with strict boundaries, prompt lifecycle control, and provider abstraction
  • ChronoFlow — workflow orchestration engine for structured execution pipelines
  • SignalForge — rule-based signal detection and alerting system
  • BeaconFlow — event ingestion and processing foundation
  • ClientForge — multi-tenant platform for managing users, tenants, and system boundaries

🧠 Engineering Approach

  • AI is a dependency, not the core
  • No domain logic leakage into the core
  • Build systems, not scripts
  • Deterministic behavior over implicit behavior
  • Clean architecture with strict boundaries

🏗 What I Build

I focus on:

  • modular monolith architectures
  • system orchestration layers
  • AI infrastructure (not AI wrappers)
  • event-driven systems
  • platform-level tooling

🛠 Tech Stack

  • Languages: C#, TypeScript
  • Frameworks: .NET 10, Next.js
  • Architecture: Clean Architecture, Modular Monolith
  • Tools: Docker, PostgreSQL, Git, REST APIs

📌 Highlight Project

A.I.L. — AI Intelligence Layer

A platform for controlling how AI is used inside software systems.

  • Prompt registry with versioning and lifecycle management
  • Provider abstraction for multi-model execution
  • Reliability layer (retry, fallback)
  • Observability and audit tracking
  • Repository-backed design with persistence

📫 Contact

⚡ Philosophy

Evolution isn’t deviation. It’s convergence.

Pinned Loading

  1. AIL AIL Public

    A.I.L. (AI Intelligence Layer) is a modular platform for managing, validating, and executing AI workflows with strict architectural boundaries. It provides prompt versioning, provider abstraction, …

    C#

  2. BeaconFlow BeaconFlow Public

    Event ingestion API built with .NET 8 using Clean Architecture principles.

    C# 1

  3. ChronoFlow ChronoFlow Public

    Modular event-driven backend platform built with .NET, event streams, and clean architecture.

    C# 1

  4. ClientForge ClientForge Public

    Modular multi-tenant SaaS platform foundation built with .NET. Includes JWT authentication, tenant isolation middleware, membership-based authorization, modular architecture, and automated architec…

    C#

  5. loucarron.dev loucarron.dev Public

    Architecture-driven developer portfolio built with Next.js featuring event systems, workflow orchestration, and SaaS platform design projects.

    TypeScript

  6. SignalForge SignalForge Public

    SignalForge — event-driven signal detection platform with rule-based evaluation, alerting, and clean architecture design.

    C#