Akshay Ranganath

WORK HISTORY

EDUCATION

SKILLS

ABOUT AKSHAY RANGANATH

With nearly two decades in IT, I\'ve evolved from web developer to Principal Solutions Architect at Cloudinary, specializing in optimizing digital experiences and leveraging cutting-edge technologies.Current Role: Principal Solutions Architect at Cloudinary-I lead technical strategy for multi-million dollar accounts, focusing on:* Designing sophisticated media publishing workflows* Optimizing asset compression and delivery* Creating custom integrations with LLMs for improved resource classification* Mentoring and enhancing Solution Architecture practices* Analyzing & implementing AI based solutions that can scale for millions of usersMy work spans from migrating millions of assets to orchestrating complex workflows using Python and AWS Lambda, contributing to significant revenue growth through custom engagements and data-driven solutions.Previous Experience: Enterprise Architect at Akamai Technologies-At Akamai, I consulted with major e-commerce players, ensuring platform resilience during extreme traffic events. Key focus areas:* Optimizing CDN utilization and caching strategies* Implementing robust failure handling and threat monitoring* Enhancing website performance and responsiveness* Advising on DevOps practices and CDN delivery pipelinesTechnical Expertise-* AI Technologies: Python, AWS Bedrock, ChromaDB, RAG, TensorFlow* Content Delivery: Multi-CDN setups (Akamai, Fastly, Cloudflare, Cloudfront)* Web Performance: Synthetic measurement tools* Cloud: AWS Certified Solutions ArchitectContinuous Learning & Knowledge Sharing-I\'m committed to staying current with technology trends and sharing insights through:* Technical blogging* Speaking at conferences* Developing open-source projects* Mentoring team members and educating customersMy blend of technical depth, business acumen (MBA from Oxford Brookes University), and consulting experience allows me to bridge complex technical solutions with tangible business outcomes. I excel in optimizing global content delivery networks, leveraging AI for smarter asset management, and actually understanding the areas where AI can scale or fail in enterprise use-cases.