Specialist in Agentic GraphRAG orchestration, knowledge graphs (KAG), and cloud-native LLM pipelines tied natively to high-performance client architectures serving millions of users. Ten years of production systems work now converging on one thesis: retrieval that understands structure outperforms retrieval that only understands similarity.
Traditional flat vector retrieval frameworks struggle with structural context, treating information fragments as disconnected entities. My focus centers on shifting from generic lookup methods to multi-agent graph topologies that map real knowledge dependencies.
By implementing unified GraphRAG stacks, intent-based routing protocols, and localized on-device inference models, I construct enterprise systems where data relationships remain deterministic, transparent, and completely scalable.
An asynchronous, production-first dual-mode knowledge graph system built on Neo4j, FastAPI, and LangGraph. Addresses vector memory gaps by combining structured execution matrices with deep semantic graph traversal.
A comprehensive collection of core machine learning algorithms implemented from scratch — focused on foundational concepts, mathematical intuition, and clean, modular Python implementations.
A self-updating feed of the latest AI research papers from arXiv and Hugging Face, automatically organized by topic via scheduled GitHub Actions workflows.
An auto-updating collection of the world's most popular AI repositories, bringing together LLMs, agents, RAG, and other cutting-edge open-source projects in one tracked feed.
Led systemic development of the national digital identity smartphone system for 5,000,000+ consumers under Digital Dubai Authority governance. Managed security layers for cross-app token authentication, government cryptographic plugins, and hardware-isolated storage.
Designed and integrated local mobile edge processing using TensorFlow runtime inference to build automated physical receipt scanning directly into client apps, serving 1M+ users. Paired the flow with Mappedin layout pipelines for real-time multi-level indoor path routing.
Engineered reliable telemetry, driver performance tracking, and financial transaction infrastructure handling fleet tracking metrics for over 10,000+ logistics operators across global footprints.
Architect production end-to-end multi-agent networks and context-rich RAG pipelines via Azure AI Foundry and LangGraph. Engineered programmatic NLP-to-SQL mapping layers and integrated model monitoring via LangSmith to reduce baseline Arabic translation hallucinations by roughly 30%.
Owned system governance over the official national authentication engine (UAE Pass) supporting 5M+ active users. Shifted legacy layout assets to optimized Jetpack Compose UI, maintained custom plugin utilities for the unified multi-tenant Dubai Now portal, and applied automated SonarQube/CodeQL data protection boundaries.
Engineered low-latency background telemetric tracking protocols serving over 10,000 active global logistics operators. Restructured native build setups onto automated CircleCI runner infrastructure, saving 90% of recurring manual integration build overhead.
Authored the production deployment blueprint for the corporate multi-tier Business Mobile Banking stack. Built 150+ modular components using secure client memory allocation primitives (AES token storage patterns) and cut live crash counts by 35% using AppDynamics tracing instrumentation.