I’m Abdelhady Ali, an AI & DevOps Engineer building end-to-end intelligent systems—from computer vision, RAG, and multi-agent orchestration to cloud infrastructure, CI/CD, observability, and secure deployment.
Available for full-time roles and freelance projects worldwide.
0.39 → 0.81
Annotation-pipeline label F1
95%
Reduction in false positives
1,300+
Tests maintained green
14.7% → 3.2%
Medical RAG hallucination rate
AI → API → INFRA → OPERATE
My work sits at the intersection of artificial intelligence and platform engineering. I design models and agentic pipelines, then build the APIs, deployment systems, observability, security controls, and infrastructure required to operate them reliably.
Selected systems
Private implementations presented through architecture, decisions, measurable outcomes, and product demonstrations.
An edge-deployed vision system that detects people, safety equipment, and compliant or non-compliant PPE states across ten classes.
95% fewer false positives
A multi-agent Python SDK for deployment, infrastructure monitoring, RAG-assisted incident investigation, and controlled remediation.
One architecture, multiple providers
A secure operations platform unifying virtual machines, Kubernetes, live monitoring, audit history, and DigitalOcean drift detection.
VM, Kubernetes, and observability in one interface
A multi-agent platform that turns narrated lessons into interactive courses with matched visuals, layouts, animations, and synchronized overlays.
1,300+ tests kept green
An AI platform that transforms codebases into living documentation, architecture diagrams, and interactive source-cited knowledge systems.
Repository to knowledge system
A bilingual Arabic and English medical-information platform composed of 13 microservices and orchestrated with LangGraph.
14.7% → 3.2% hallucination rate
Production recovery, deployment automation, environment isolation, secure routing, observability, and AI-systems operations.
Verify, deploy, recover, roll back
A research assistant for grounded paper chat, semantic discovery, summarization, translation, OCR, voice interaction, and AI-generated questions.
Eight specialized services plus an API gateway
Experience
AIVIS Studio
AI Engineer
Apr 2026 — Present · Remote
Building and deploying production computer-vision systems for real-time safety compliance, automated annotation, evaluation, and edge inference.
Zedny INC
AI & DevOps Engineer
Apr 2025 — Apr 2026 · Cairo
Built internal infrastructure tooling, multi-agent course systems, observability platforms, secure environments, and resilient deployment pipelines.
ACME — Integrated Engineering Systems
AI Intern
Jan 2025 — Mar 2025 · Cairo
Developed computer-vision and NLP systems for automation and digital-transformation initiatives.
Independent
Computer Vision & AI Developer
Feb 2025 — Mar 2025 · Remote
Delivered OCR, real-time detection services, and LLM-assisted document interpretation across the complete ML lifecycle.
Capabilities
01
RAG, multi-agent orchestration, provider abstraction, fine-tuning, evaluation, and safety controls.
02
Detection, classification, segmentation, ensembles, automated annotation, tracking, and edge inference.
03
FastAPI, async Python, APIs, WebSockets, PostgreSQL, Redis, authentication, and service architecture.
04
Docker, Kubernetes, CI/CD, AWS, DigitalOcean, Terraform, secure networking, and recovery.
05
Prometheus, Grafana, Loki, health gates, rollback, audit trails, and infrastructure drift detection.
About
I’m an AI & DevOps Engineer based in Cairo, Egypt. My approach is grounded in measurable evaluation, clean architecture, secure operations, and reliable delivery. I enjoy systems where AI is one part of a complete product and operational challenge.
B.Sc. in Computer Science and Artificial Intelligence · Benha University · 2026