Ezo Saleh

Rising Codementor

US$9.00

For every 15 mins

First 15 mins free for your first session

ABOUT ME

LLM Solutions Architect | Production AI and distributed systems expert

👋 Hi! I help developers navigate the practical side of AI and distributed systems. Having built and shipped LLM pipelines, computer vision solutions, and graph-based AI systems, I focus on turning complex concepts into production code.

Mentoring Areas

Applied AI: Built production systems using LLMs, computer vision, and graph databases
ML Architecture: Designed data pipelines processing 600K+ weekly podcast feeds
Distributed Systems: Scaled solutions from IoT platforms to AI services
Full-stack Development: Go, Python, Node.js in production

I specialize in helping developers bridge the gap between AI theory and practice. Whether you're integrating LLMs, building ML pipelines, or scaling AI systems, I'll guide you through real-world implementation challenges I've solved at large organisations and startups.

Let's turn AI concepts into production systems! 🚀

London (+00:00)

Joined December 2024

EXPERTISE

AI Engineer

1 year experience

Building solutions that work against the nuances of LLMs, including working with AI Agents as early as March 2024.

Prompt Engineering Crewai OpenAI APIs Langchain

7 years experience

Building fast, concurrent APIs and distributed systems using Go. Including developer tools that simplify working with Kubernetes.

Event-Driven Architecture Event Sourcing Microservices

Event-Driven Architecture Event Sourcing Microservices PostgreSQL MongoDB Neo4j Concurrent Programming

Distributed Systems Engineering

15 years experience

Building heterogeneous systems for big and small organisations that use messaging to deliver value and scale.

Event Sourcing ActiveMQ Apache Kafka

Event Sourcing ActiveMQ Apache Kafka Messaging Systems Kubernetes

Docker & Kubernetes

6 years experience

Building container based solutions deployed on both bare-metal servers and Kubernetes managed services on GCP and AWS.

Kubernetes Operator Kubernetes Docker Compose

Kubernetes Operator Kubernetes Docker Compose Docker

Node.js

8 years experience

Building distributed systems and SDKs with and for Node.js.

Next.js React Reactive Programming

Next.js React Reactive Programming Express.js

Python

4 years experience

Building Applied NLP, and Deep learning solutions since 2018.

Fastapi Python 3

REVIEWS FROM CLIENTS

Ezo's profile has been carefully vetted and approved as a Codementor. Connect with Ezo now, and leave a review for them once you're done!

SOCIAL PRESENCE

GitHub

tabula-js

Helps you extract CSV data tables from PDF files using the mighty tabula-java. See https://github.com/tabulapdf/tabula-java

JavaScript

appium-smoke-tester

A base project for Cross Mobile app smoke tests using Appium.

JavaScript

EMPLOYMENTS

CTO / Hands on Technical Lead

Stealth Startup

2024-05-01-Present

Architected a fault-tolerant orchestration system handling complex multi-agent workflows with automatic compensation, achieving e...

Architected a fault-tolerant orchestration system handling complex multi-agent workflows with automatic compensation, achieving exactly-once execution guarantees through an append-only log design.
Developed two production-ready SDKs (JavaScript and Python) with intuitive APIs, enabling developers to integrate AI agents in under 10 lines of code while maintaining sophisticated reliability patterns.
Implemented a distributed compensation system with 10-retry exponential backoff, 24-hour TTL management, and reverse-order execution, ensuring system consistency during failures.
Built a real-time health monitoring system tracking service connections across WebSocket sessions with 30-minute recovery windows, maintaining operational visibility through CLI tooling.
Designed an LLM-powered task decomposition system that automatically routes and parallelizes operations across services and agents while maintaining data dependencies.

Python

Node.js

Docker

Python

Node.js

Docker

JavaScript

LLM