AI/ML Engineer & Full-Stack ArchitectAbdulrahman Elsmmany
I build production-grade AI products end-to-end: RAG/agentic systems that stay grounded in your data, plus the full-stack app (Next.js + FastAPI), secure multi-tenant data model, and cloud deployment (GCP) to ship to real users. What makes me unique is the combination of deep LLM engineering (hybrid/GraphRAG, evaluation/observability, guardrails) with strong product architecture (offline-first PWAs, HIPAA-aware workflows) so you get a reliable system, not a fragile demo.
What's included
Full-Stack AI Web App (Next.js)
Ship a production Next.js app with streaming chat UX, dashboards, and integrated AI features (ready for real users, not a demo).
Agentic Workflow
Deliver a supervisor+specialists agent that can call tools (DB/search/graph) with guardrails, retries, and structured state.
Production RAG Assistant (End-to-End)
Build a grounded LLM assistant over your docs (ingestion → chunking → embeddings → retrieval → generation) with citations and safe fallbacks.
Multi-Strategy RAG + Quality Benchmarking
Implement and compare multiple RAG approaches (hybrid/graph/corrective) and ship an eval harness (RAGAS-style metrics, regression tracking).
GraphRAG (Neo4j + Vector Search)
Add entity extraction + knowledge graph traversal alongside vector retrieval for multi-hop questions and better relationship reasoning.
Secure Auth + Multi-Tenant Data Access (Supabase/RLS)
Design the database model and row-level security for safe multi-tenant apps, including roles/permissions and protected APIs.
FastAPI Backend for AI + Async Jobs
Build a clean FastAPI service for AI endpoints, background tasks, and integrations (high-concurrency patterns where needed).
Offline-First PWA Module (Sync Engine)
Implement offline capture + queued writes + conflict-safe sync (service worker + IndexedDB) for field/clinical-style workflows.
Cloud Deployment on GCP + CI/CD Hardening
Containerize and deploy to Google Cloud with secrets/config management, environments, and a release pipeline with quality gates.
Abdulrahman's other services
Starting at$50 /hr
Tags
Docker
LangChain
Motion for React
Next.js
Supabase
Frontend Engineer
Fullstack Engineer
Software Engineer
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Abdulrahman Elsmmany Egypt
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- Followers
AI/ML Engineer & Full-Stack ArchitectAbdulrahman Elsmmany
Starting at$50 /hr
Tags
Docker
LangChain
Motion for React
Next.js
Supabase
Frontend Engineer
Fullstack Engineer
Software Engineer
I build production-grade AI products end-to-end: RAG/agentic systems that stay grounded in your data, plus the full-stack app (Next.js + FastAPI), secure multi-tenant data model, and cloud deployment (GCP) to ship to real users. What makes me unique is the combination of deep LLM engineering (hybrid/GraphRAG, evaluation/observability, guardrails) with strong product architecture (offline-first PWAs, HIPAA-aware workflows) so you get a reliable system, not a fragile demo.
What's included
Full-Stack AI Web App (Next.js)
Ship a production Next.js app with streaming chat UX, dashboards, and integrated AI features (ready for real users, not a demo).
Agentic Workflow
Deliver a supervisor+specialists agent that can call tools (DB/search/graph) with guardrails, retries, and structured state.
Production RAG Assistant (End-to-End)
Build a grounded LLM assistant over your docs (ingestion → chunking → embeddings → retrieval → generation) with citations and safe fallbacks.
Multi-Strategy RAG + Quality Benchmarking
Implement and compare multiple RAG approaches (hybrid/graph/corrective) and ship an eval harness (RAGAS-style metrics, regression tracking).
GraphRAG (Neo4j + Vector Search)
Add entity extraction + knowledge graph traversal alongside vector retrieval for multi-hop questions and better relationship reasoning.
Secure Auth + Multi-Tenant Data Access (Supabase/RLS)
Design the database model and row-level security for safe multi-tenant apps, including roles/permissions and protected APIs.
FastAPI Backend for AI + Async Jobs
Build a clean FastAPI service for AI endpoints, background tasks, and integrations (high-concurrency patterns where needed).
Offline-First PWA Module (Sync Engine)
Implement offline capture + queued writes + conflict-safe sync (service worker + IndexedDB) for field/clinical-style workflows.
Cloud Deployment on GCP + CI/CD Hardening
Containerize and deploy to Google Cloud with secrets/config management, environments, and a release pipeline with quality gates.
Abdulrahman's other services
$50 /hr