Ahmed Bahaaeldin DarwishAI Strategy Leader | Multi-AI Agents Expert | GenAI Business Strategist
Strategic AI Innovation Leader with 16+ years in telecommunications, specializing in enterprise transformation through Generative AI and Multi-AI Agent systems. Proven ability to translate cutting-edge AI into business value, lead cross-functional teams, and deploy large-scale AI solutions.
Built IdeaSketch, a production-ready SaaS application powered by LangGraph for intelligent workflow orchestration. Deployed using LangGraph Studio with a modern Vite.js frontend, leveraging Supabase for database management and authentication. Key skills: LangGraph architecture, SaaS development, Vite.js, Supabase, authentication systems, database design, and full-stack development.
Designed and deployed advanced AI chatbots leveraging no-code platforms including Flowise, n8n, and Langflow. Demonstrated expertise in workflow automation, prompt engineering, and rapid prototyping for business solutions. Key skills: No-code AI development, workflow design, system integration, conversational AI, and intelligent automation.
Architected and designed advanced AI chatbot systems leveraging small local LLM models for cost-effective and private deployments. Engineered a strategic system design that optimizes performance through intelligent prompt engineering and resource-efficient architecture, enabling enterprise-grade solutions with constrained models. Key skills: System architecture design, local LLM deployment strategy, prompt engineering, AI integration, edge AI architecture, resource optimization, and privacy-focused system design.
Built an automated system for DriveTest route generation using FastAPI, Python, and OpenMaps. Streamlined geospatial data processing and backend API development for telecom RAN optimization. Key skills: FastAPI development, Python automation, OpenMaps integration, DriveTest methodology, mobile network optimization, geospatial analysis, and API design.
Developed an end-to-end computer vision pipeline for site management and safety compliance monitoring. Implemented real-time object detection and safety violation identification for telecom site operations. Key skills: YOLOv10 model deployment, computer vision, FastAPI development, image processing, and safety compliance automation.
Developed an AI-powered computer vision system for workplace health and safety compliance monitoring. Implemented automated detection of safety violations and compliance tracking for enhanced workplace security. Key skills: Computer vision, YOLOv9 implementation, safety analytics, compliance automation, and production model deployment.
Designed and architected an enterprise-scale multi-AI agent platform enabling zero-touch network automation with successful proof of concept. Led strategic architecture design and system integration for autonomous telecom operations and intelligent orchestration. Key skills: Multi-agent system architecture, strategic AI design, telecom automation, system integration, orchestration, and enterprise solution architecture.
Developed EasyOokla, a desktop application for automated analysis of Ookla speed test data. Streamlined data collection, analysis, and reporting for comprehensive network performance insights. Key skills: Data analysis, automation engineering, network performance analysis, Python development, and reporting systems.
The projects showcased above represent some of my recent work over the past 4 years in AI and telecommunications. I have designed, developed, and deployed many additional projects spanning automation, data analytics, computer vision, and network optimization—many of which are proprietary to the companies I've worked with and cannot be publicly shared. These highlighted projects demonstrate my approach to solving complex challenges through cutting-edge technology, though they represent only a portion of the work I've accomplished throughout my career.
USPTO Grant US 12308894 B2: System, method, and medium for blockchain-enabled microwave antennas. USPTO Grant US 12328299 B2: System, method and non-transitory computer readable medium for an internet-enabled network radio node. Both patents demonstrate innovation in AI, blockchain, and telecommunications technologies. Additional patent applications are currently under review with the USPTO.
Achieved 2nd place at R-Pitch for ZenSpace AI, leading all aspects: financial planning, forecasting, pitch presentations, technical architecture, system design, AI product strategy, and market research. Recognized by Rakuten CEO.
Recognized by Rakuten's Patent League for outstanding innovation leadership.
Delivered a keynote speech at TokyoAI on the future of Multi-AI Agents. Demonstrated skills in public speaking, AI strategy, and industry thought leadership.
Honored to receive the Rakuten Mobile Innovation Award for contributions in the E2E Performance and Capacity Department. Led the development of Phase 1 of AI Maestro, a pioneering product transforming E2E network performance using AI. Navigated significant privacy and security challenges by exclusively using locally self-hosted LLMs, rigorously testing hundreds of LLMs, frameworks, and tools to deliver real-world AI applications. Built an intelligent root cause analysis engine for critical core KPIs, demonstrating that innovation comes from challenging norms and building what doesn't yet exist.
Excellence has been a defining thread throughout my journey in life, beginning in elementary school where I consistently ranked among the top 5 students, earning numerous Academic Excellence Certificates and Good Conduct and Behavior Certificates—a pattern that continued through intermediate and secondary education, and throughout my college years, culminating in my graduation with a degree in Electrical and Computer Engineering from Egypt. This collection of achievements—carefully preserved in a folder I carry with me wherever I go—represents more than accolades; it embodies a lifelong commitment to continuous learning and excellence. Throughout my professional career, I have earned recognition from leading organizations including STC, and completed prestigious certifications such as IBM's Data Science Professional Certificate, PMP, Leadership Development programs, and NEBOSH Health & Safety credentials, among many others. Each certificate and award reflects not just achievement, but a dedication to mastery and professional growth that continues to drive my work in AI innovation today.
My telecommunications career began in 2007 as a DriveTest Engineer in Egypt, where I built a strong foundation in mobile network analysis and field operations. I then advanced my career in Saudi Arabia, working on telecom installations, network optimization, and large-scale mobile infrastructure projects. This hands-on experience across multiple markets provided me with deep technical expertise and a comprehensive understanding of telecommunications systems, which continues to inform my AI and innovation work today.