Highly innovative AI & Automation Engineer with a proven track record of building and deploying production-grade AI tools, agents, and automated workflows. Expert in LLM systems, computer vision, and advanced cloud stacks (GCP/AWS/Azure), consistently delivering solutions that enhance efficiency, accuracy, and scalability. Driven to leverage deep technical expertise to solve complex challenges and drive significant technological advancements in dynamic environments.
Freelance AI Engineer & Automation Specialist
Remote
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Summary
Provided specialized AI engineering and automation consulting, developing advanced LLM-based agents and production-level bots for diverse client needs.
Highlights
Conducted advanced research on LLM safety using malicious Arabic prompts, rigorously testing SOTA models to enhance safety alignment and robustness.
Developed a sophisticated retail support agent utilizing LangGraph and DSPy, enabling efficient database querying via SQL for improved customer service operations.
Built and deployed a production-level file distribution bot, reliably syncing local folders to specific clients on WhatsApp, enhancing communication and data dissemination efficiency.
Founding AI Engineer
Remote
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Summary
Led the end-to-end development and DevOps lifecycle for a greenfield geospatial analytics system, ensuring robust data processing and optimized cloud infrastructure.
Highlights
Architected and built a greenfield geospatial analytics system from conception to deployment as a solo engineer, delivering full-stack functionality.
Engineered solutions for out-of-order, concurrent, and overlapping data ingestion, significantly improving data integrity and processing efficiency.
Implemented a stateless ingest and runtime aggregation architecture with a cache layer, enhancing system performance and scalability.
Managed the complete DevOps lifecycle, optimizing cloud compute infrastructure and automating data pipelines, resulting in improved resource utilization and faster deployments.
Maintained and improved a legacy production system, proactively resolving issues and patching flaws to ensure continuous operation and reliability.
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Bachelor
Computer Engineering
Grade: GPA: Very Good | Graduation Project Grade: Excellent
Published by
The International Journal of Telecommunications (IJT)
Summary
Authored a publication detailing a comprehensive approach to Arabic handwriting recognition using deep convolutional networks and bidirectional recurrent models.
Python, TypeScript, FastAPI, React, Next.js.
LLMS, RAG, LangChain, PyTorch, TensorFlow, Computer Vision, NLP, Gemma, Gemini.
SQL, PostgreSQL, Redis, Docker, Cloud (GCP/AWS/Azure), Qdrant, SQLite, Cloudflare Workers.
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Summary
Engineered a local AI-powered image search system, combining hybrid retrieval with advanced OCR and AI-driven description generation.
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Summary
Built a web application that transforms unstructured text into clean, semantic docx format, leveraging orchestrated AI models.
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Summary
Developed a full-stack AI-powered financial tracker with secure authentication and advanced expense extraction capabilities.
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Summary
Created a multi-agent LangChain system to optimize CVs against job postings, integrating various data sources and achieving significant matching improvements.
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Summary
Developed a robust Arabic handwriting OCR system and an AI agent for automated exam grading, significantly improving processing efficiency.