Rabil Wavle

Architected and designed scalable high performance digital platforms for government-backed museums, ensuring 99.9% uptime security compliance and optimal user experience. Designed end-to-end solution architecture for content-rich, multilingual museum websites, aligning with business and visitor engagement goals. Defined system architecture including frontend, backend, CMS integration, APIs, and cloud infrastructure. Implemented headless CMS architecture for flexible content delivery across web and mobile platforms. Collaborated with cross-functional stakeholders including government entities, designers and business teams to translate business requirements into technical solutions. Ensured compliance with UAE government security standards and data protection policies, strengthening platform reliability and trust. Delivered key projects including Al - Ain Museum, Natural History Museum, Louvre Museum digital platforms enhancing digital visitor engagement. Created and delivered technical documentation including architecture diagrams, system flows, and deployment guidelines. Supported post launch optimization, enhancements, and performance tuning ensuring continuous scalability and stability.

Generated more than $2M in booked multi-year contracts by implementing AI and RPA solutions. Automated 50+ workflows using .NET, Azure AI, UiPath, Power Platform saving 30, 000+ hours annually. Created an enterprise-grade solution powered by AI, which achieved 90% accuracy levels while processing more than 450 documents. Enhanced wins for the sales team by 35% with customized technical POCs Delivered enterprise AI architectures for 2, 000+ users ensuring 99.9% uptime and security compliance. Deployed RAG pipelines with vector databases improving accuracy 40%, reducing query resolution time 60%. Fine-tuned LLMs on 100K+ domain datasets using PyTorch, TensorFlow improving accuracy 35%. Led 8+ AI/ML engineers across agile projects driving 30% faster delivery with technical excellence. Created and supported compliance frameworks that ensured 95-98% accuracy in customer dependence accuracy for demos, with 50% savings in quick demo provisioning. Designed production-ready AI systems on AWS/Azure/GCP driving 25-40% efficiency improvements.

Created travel booking workflows using Excel VBA which reduced the manual process time by 70%. Created reports and increased accuracy by 40% through advanced data driven macro development. Created dashboards which delivered insights to operations and finance teams. Enhanced process accuracy by 30% through user-friendly interface design. Created macro libraries with documentation for knowledge transfer. Built macros and called external APIs to get the prices and check current availability.