AI & BACKEND ENGINEER
Architecting scalable backend systems and production-ready AI pipelines
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01 — ABOUT
PROFILE
Highly analytical and adaptive Software Engineer currently pursuing a degree in Informatics Engineering at the Syrian Virtual University. Combining academic foundations with robust hands-on experience in backend architecture and AI automation, specializing in building scalable, production-ready systems. A continuous learner driven by clean code principles, ready to drive value in a fast-paced corporate environment.
BACKEND ENGINEER
A Backend Engineer architecturalizes the critical, unseen infrastructure of an organization's digital products. Responsibility extends beyond server-side logic — it encompasses designing high-performance databases, enforcing strict data security constraints, establishing robust APIs, and ensuring the overall scalability and stability of the system to handle heavy concurrent traffic without downtime.
AI ENGINEER
An AI Engineer specializing in production-ready systems does not merely consume basic API endpoints — they design autonomous, end-to-end ecosystems. This involves orchestrating complex workflows, deploying multi-agent frameworks, integrating advanced LLMs with vector databases, and constructing resilient pipelines capable of automating enterprise-level operations and handling sophisticated logic loops.
02 — EDUCATION
CORE ACADEMIC FOUNDATIONS
AI & AUTOMATION KNOWLEDGE
03 — TOOLS & STACK
BACKEND & SOFTWARE ENGINEERING
AI ENGINEERING & AUTOMATION
DEVOPS & CLOUD INFRASTRUCTURE
04 — PROJECTS
PROJECT 01
Designed and developed an enterprise-grade automation ecosystem that orchestrates multi-agent workflows to autonomously generate, validate, and schedule digital marketing content.
Engineered an advanced Multi-Agent framework using LangChain to handle specialized tasks including market research, copywriting, and compliance verification.
Built dynamic integration pipelines within n8n utilizing advanced node configurations and custom Python code to handle asynchronous logic loops.
Integrated Supabase for secure user authentication, asset storage, and real-time database synchronization across distributed agent workflows.
PROJECT 02
Built a robust, enterprise-ready academic management backend focused on high data integrity, strict business logic execution, and optimized relational database design.
Architected a multi-layered Python backend adhering strictly to SOLID design principles and Clean Architecture to decouple core logic from external dependencies.
Implemented complex database schemas in Microsoft SQL Server utilizing advanced constraints, unique indexes, cascading referential integrity, and transaction boundaries.
Optimized query execution paths and database connection pooling to handle heavy concurrent operations during simulated enrollment peaks.
PROJECT 03
Developed a high-performance Retrieval-Augmented Generation system capable of parsing, indexing, and querying unstructured enterprise documentation with high contextual accuracy.
Built automated data pipelines that extract textual data, perform semantic chunking, and generate high-dimensional vector embeddings.
Integrated Milvus as a centralized vector database to execute low-latency semantic similarity searches, reducing LLM hallucination rates significantly.
Designed an intelligent prompt-engineering abstraction layer using Google AI Studio to optimize token consumption and refine structural outputs.
PROJECT 04
Constructed a scalable, asynchronous API gateway designed to act as the single entry point for microservices, handling routing, rate-limiting, and request transformation.
Developed the asynchronous server architecture using FastAPI, achieving low-overhead processing for high-concurrency connections.
Containerized the entire application ecosystem using Docker Desktop, creating deterministic development environments running on WSL 2 (Ubuntu).
Deployed and managed gateway infrastructure utilizing Cloudflare Pages for edge caching, SSL/TLS enforcement, and DDoS protection.
PROJECT 05
Created a centralized logging and event-driven automation tool that monitors infrastructure changes, audit trails, and security compliance parameters across cloud-hosted services.
Integrated Azure DevOps pipelines with webhooks to trigger real-time infrastructure event monitoring alerts.
Utilized Cloud Code to streamline continuous integration workflows and automated cloud deployment diagnostics.
Designed structured logging schemas inside PostgreSQL to analyze system bottlenecks and malicious access attempts through automated analytical scripts.