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I will provide AI Business Architecture Design to help executive teams, founders, and product leaders bridge the gap between business strategy and cutting-edge AI engineering. Whether you are integrating multi-agent AI systems, optimizing operational workflows, or building AI-native products, I design end-to-end business and technical architectures that drive predictable ROI while mitigating operational and security risks.

Siyam Fahad

I will design scalable, multi-agent AI systems and stateful orchestration workflows that convert complex, manual business processes into autonomous digital operations. From defining agent roles, memory patterns, and tool integrations to implementing human-in-the-loop safeguards, I build clear technical blueprints that allow your engineering teams to deploy production-ready AI agents with minimal friction and maximum reliability.

Siyam Fahad

I will construct enterprise-grade Retrieval-Augmented Generation (RAG) and knowledge graph architectures tailored to turn your proprietary unstructured data into an intelligent context engine. By optimizing chunking strategies, vector database selection, metadata filtering, and semantic search pipelines, I help organizations eliminate AI hallucinations, secure internal data boundaries, and deliver accurate, context-aware intelligence across internal systems.

Siyam Fahad

I will conduct comprehensive technical and economic audits for teams planning to build or integrate generative AI capabilities. I evaluate data readiness, select optimal model sizes (LLMs/SLMs), model token economics and infrastructure costs, and assess latency and security constraints. You receive a clear, phased product roadmap with a definitive build-vs-buy recommendation before committing engineering capital.

Siyam Fahad

هل عندك فكرة مشروع ذكاء اصطناعي أو بيانات محتاجة تحليل؟ في هذه الاستشارة الشاملة (60 دقيقة) سنناقش: تحليل البيانات المتاحة لديك ومدى ملاءمتها للمشروع. اختيار نموذج تعلم الآلة (Machine Learning) أو التعلم العميق (Deep Learning) الأنسب. خطوات معالجة البيانات (Data Preprocessing) والتنظيف. خارطة طريق تقنية للتنفيذ باستخدام Python. تقييم المخاطر التقنية والتكلفة المتوقعة. المخرجات: تقرير PDF يتضمن خطة العمل + الكود التمهيدي (Starter Code) + توصيات بأدوات مفتوحة المصدر

Taha hussein

هل بنيت نموذج تعلم آلي بس النتائج مش مرضية؟ في هذه الجلسة (60 دقيقة) سأراجع معاك: كود التدريب والمعمارية (Architecture) المستخدمة. جودة البيانات واكتشاف مشاكل الـ Overfitting/Underfitting. تقنيات تحسين الأداء: Hyperparameter Tuning, Cross-Validation, Feature Engineering. اقتراح خوارزميات بديلة أو تقنيات Data Augmentation. المخرجات: ملخص تقني بأخطاء النموذج + كود محسّن + خطة لرفع الـ Accuracy.

Taha hussein

Software Tesitng Web & API

Hassan Al-Najjar

Software Automation Testing

Hassan Al-Najjar

Create smart Jira Dashboards

Hassan Al-Najjar

AI S.W Test case generation

Hassan Al-Najjar

Scrum Master , Jira Admin

Hassan Al-Najjar

I will develop a professional, responsive, and fast Landing Page using React, with a clean user interface, organized code, and a scalable structure.

Mohamed Sherif