◆ Anthropic Ember ◆ Ink Black → Ember Glow → Kraft Sand ◆
// aziz.identity.ts · v9.0
interface Innovator {
readonly soul: "Builder";
readonly compass: "Truth × Craft × Impact";
readonly horizon: "Infinite";
}
const AZIZ: Innovator & Profile = {
name: "Aziz Al-Otaibi · عزيز العتيبي",
title: "Principal Innovator & Developer",
subtitle: "Systems Architect · AI Builder · Arabic NLP",
location: "Riyadh, Saudi Arabia 🇸🇦",
timezone: "UTC+3",
contact: "alotaibiaziz322@gmail.com",
focus: [
"◆ Distributed Systems // multi-region · event-sourced",
"◇ AI / ML Engineering // orchestration · RAG · agents",
"◈ Cloud-Native Infra // GitOps · zero-trust · SRE",
"✦ Arabic NLP Research // dialect-aware · culturally rooted"
],
philosophy: [
"Simplicity at scale",
"Fail fast · Recover faster",
"Observability first",
"Data-driven decisions",
"Security by default",
"API-first contracts",
"Immutable infrastructure",
"Progressive delivery"
],
soul: "Builder",
compass: "Truth × Craft × Impact",
horizon: "Infinite",
status: "◆ Open to elite opportunities ◆"
} as const;
Three rooms · One craft · A lifetime of refinement
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graph TB
A[◆ AZIZ AL-OTAIBI<br/>The Atelier]:::core
A --> S[I · SYSTEMS<br/>Distributed Cores]:::sys
A --> I[II · INTELLIGENCE<br/>LLM Orchestration]:::intel
A --> L[III · LANGUAGE<br/>Arabic NLP]:::lang
S --> S1[Event-Driven Mesh]:::leaf
S --> S2[Zero-Trust Fabric]:::leaf
S --> S3[GitOps Delivery]:::leaf
I --> I1[Cost-Aware Routing]:::leaf
I --> I2[RAG Pipelines]:::leaf
I --> I3[Agent Mesh]:::leaf
L --> L1[Dialect Detection]:::leaf
L --> L2[Diacritization]:::leaf
L --> L3[NER & ABSA]:::leaf
classDef core fill:#D97757,stroke:#F4F3EE,stroke-width:3px,color:#141413
classDef sys fill:#C15F3C,stroke:#D97757,stroke-width:2px,color:#F4F3EE
classDef intel fill:#CC785C,stroke:#D97757,stroke-width:2px,color:#F4F3EE
classDef lang fill:#D4A27F,stroke:#D97757,stroke-width:2px,color:#141413
classDef leaf fill:#2E1608,stroke:#CC785C,stroke-width:1px,color:#F4F3EE
 SYSTEMS |
 INTELLIGENCE |
 LANGUAGE |
|---|---|---|
| Distributed Cores | LLM Orchestration | Dialect Detection |
| Event-Driven Mesh | RAG Pipelines | Diacritization |
| Zero-Trust Fabric | Cost-Aware Routing | NER & ABSA |
| GitOps Delivery | Agent Mesh | Topic Evolution |
| 4-Region Active-Active | Semantic Caching | Gulf · Levantine · Maghrebi |
99.99 % uptime |
94.7 % accuracy |
96.2 % dialect ID |
◆ LANGUAGES · لغات البرمجة ◆
◇ FRONTEND · واجهات المستخدم ◇
◈ BACKEND & APIs · الخوادم والواجهات ◈
✦ DATA & STREAMING · البيانات والتدفّق ✦
✧ CLOUD & SRE · السحابة والموثوقيّة ✧
✶ AI / ML · الذكاء الاصطناعي ✶
Four flagships · Each a study in craft
|
A 4-region active-active platform combining CQRS, Event Sourcing, and an Istio zero-trust mesh, delivered via ArgoCD GitOps. Engineered for graceful degradation, never heroics.
|
// quantum/v3/core/supersystem.go
package quantum
type SuperSystem struct {
Regions []string // 4 active-active
Mesh Service // Istio · mTLS
EventBus Stream // Kafka + Flink
Storage Polyglot // PG · Redis · CH
Delivery GitOps // ArgoCD + Helm
Observ Telemetry // OTel → Grafana
}
// Posture: graceful degrade
// never heroics |
# neural/router/orchestrator.py
class NeuralRouter:
models = [
"gpt-4o",
"claude-3.7-sonnet",
"gemini-2.0-pro",
"llama-3.3-70b"
]
cache = SemanticRedis(τ=0.92)
rag = [Pinecone, Weaviate, Qdrant]
agents = LangGraph | CrewAI | AutoGen
# Cost ↓ 73 % · Accuracy 94.7 % |
Cost-aware multi-model orchestration with semantic caching across Redis, parallel RAG retrieval over Pinecone, Weaviate, and Qdrant, and agent meshes built with LangGraph, CrewAI, and AutoGen.
|
|
A real-time automotive SaaS engineered for GCC and MENA markets — Next.js 14 RSC, partitioned PostgreSQL, semantic Elasticsearch, and AWS ECS with multi-AZ resilience. RTL-native from the first pixel.
|
// cars-square/platform.config.ts
export const Platform = {
region: "GCC + MENA",
frontend: "Next.js 14 · RSC · RTL",
database: "PostgreSQL partitioned",
search: "Elasticsearch semantic",
cloud: "AWS ECS · RDS Multi-AZ",
edge: "CloudFront",
auth: "OAuth2 + MFA",
realtime: "WebSocket PWA",
scale: "1M+ daily transactions"
} as const; |
# arabicmind/core/engine.py
class ArabicMind:
base = "AraBERT-v2 (fine-tuned)"
dialects = [
"Gulf", # خليجي
"Levantine", # شامي
"Maghrebi", # مغاربي
"Egyptian" # مصري
]
capabilities = {
"dialect_detection": "96.2%",
"diacritization": "94.1%",
"named_entity": "92.8%",
"sentiment_aspect": "91.5%",
"topic_evolution": "real-time"
} |
A dialect-aware Arabic NLP engine built on a fine-tuned AraBERT-v2. Detects Gulf, Levantine, Maghrebi, and Egyptian dialects, restores diacritics, extracts named entities, and tracks topic evolution in real-time streams.
|
 |
 |
 |
|---|---|---|
| ◇ Simplicity at scale | ◇ Domain-Driven Design | ◇ SLO-driven engineering |
| ◇ Fail fast · Recover faster | ◇ CQRS + Event Sourcing | ◇ MTTR < 5 minutes |
| ◇ Observability first | ◇ Saga orchestration | ◇ Zero-downtime deploys |
| ◇ Data-driven decisions | ◇ Circuit Breaker | ◇ Blue-green + Canary |
| ◇ Security by default | ◇ Strangler Fig | ◇ Chaos drills monthly |
| ◇ API-first contracts | ◇ BFF + Sidecar | ◇ Latency budgets |
| ◇ Immutable infrastructure | ◇ Outbox pattern | ◇ Continuous verification |
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timeline
title ◆ Aziz Al-Otaibi · Career Trajectory ◆
2019 : Junior Developer
: Foundations · Web · OOP
2020 : Mid-Level Developer
: APIs · Databases · Cloud basics
2021 : Senior Developer
: Microservices · DevOps · Mentoring
2022 : Staff Developer
: Distributed systems · Platform design
2024 : Lead Architect
: AI pipelines · Multi-region infra
2026 : Principal Architect
: Org-wide architecture · AI strategy
| Year | Stage | Focus |
|---|---|---|
| 2019 |  |
Foundations · Web · OOP |
| 2020 |  |
APIs · Databases · Cloud basics |
| 2021 |  |
Microservices · DevOps · Mentoring |
| 2022 |  |
Distributed systems · Platform design |
| 2024 |  |
AI pipelines · Multi-region infra |
| 2026 |  |
Org-wide architecture · AI strategy |
 |
 |
 |
 |
|---|---|---|---|
| Years Experience | Projects Shipped | Contributions | Client Success |
 |
 |
 |
 |
|---|---|---|---|
| Daily Transactions | AI Models Integrated | RPS Capacity | Uptime SLO |
 |
 |
 |
 |
|---|---|---|---|
| P99 Latency | Cache Hit Rate | Routing Accuracy | Dialect Precision |
| Project | Contribution | Status |
|---|---|---|
 |
Arabic text preprocessing pipeline |  |
 |
Arabic-aware RAG retriever | |
 |
Documentation · Arabic translation |  |
 |
WebSocket performance improvements | |
 |
Arabic encoding fix | |
 |
AraBERT helper utilities | |
| Topic | Format |
|---|---|
| Distributed system design patterns |  |
| LLM orchestration at scale |  |
| Arabic NLP & dialect modeling |  |
| SRE practices for fintech |  |
| Cloud cost economics | |
| Building in public · Arabic tech | |
| Source | Link |
|---|---|
 |
github.com/AZIIZALOYIBI |
 |
linkedin.com/in/YOUR_LINKEDIN |
 |
x.com/YOUR_TWITTER |
 |
YOUR_PORTFOLIO.com |
 |
medium.com/@YOUR_MEDIUM |
 |
alotaibiaziz322@gmail.com |
