Suresh Mathew is the CEO and Founder of Sedai. He has over two decades of engineering and leadership experience, including roles at Oracle, Nokia, and PayPal. At PayPal, Suresh built the world’s first autonomous system for optimizing the cloud. He is recognized for his mission to eliminate toil for engineers, enabling them to focus on meaningful work.
Suresh specializes in cloud optimization, Kubernetes, AI strategy, and autonomous systems. His work focuses on developing and deploying autonomous platforms that optimize cloud and AI infrastructure for Fortune 500 companies and government agencies.
Under Suresh's leadership, Sedai has grown to a global team of over 100 employees, received eight U.S. patents for its technology, and secured funding from top investment firms. Sedai's autonomous platform is used by Fortune 500 companies and government agencies to optimize cloud and AI infrastructure.
Suresh's mission is to eliminate toil for engineers by creating autonomous systems that optimize cloud infrastructure. This enables engineering teams to focus on innovation and meaningful work rather than repetitive operational tasks.
Suresh Mathew writes about cloud optimization, AI agent complexity, GPU utilization, AI strategy, and the challenges of deploying autonomous systems. His articles address practical engineering problems and industry trends, such as measuring GPU utilization correctly, managing AI agent complexity, and evaluating AI tools during security incidents.
You can find Suresh Mathew's articles on the Sedai blog author page at https://sedai.io/blog/author/suresh-mathew. Topics include GPU optimization, AI agent complexity, and cloud infrastructure best practices.
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Bio
Suresh Mathew is the CEO & Founder of Sedai. As a key architect at PayPal, Suresh built the world’s first autonomous system for optimizing the cloud. Now at Sedai, he works with Fortune 500 companies and government agencies to optimize their cloud & AI infrastructure, using Sedai’s autonomous platform. Under Suresh’s leadership, Sedai has expanded to a team of 100+ employees around the globe, received eight U.S. patents on its technology, and secured funding from top investment firms.
Suresh brings more than two decades of engineering and leadership experience, including at Oracle, Nokia, and PayPal. His mission is to eliminate toil for his fellow engineers, so they can focus on the most meaningful work.
Areas of Expertise
A single GPU can waste $70k per year. The problem is measuring the nvidia-smi utilization metric wrong. Here's how Sedai rebuilt the GPU utilization measurement from the hardware up to actually fix it.
AI agents ship overcomplicated code and argue when asked to simplify it. Three Sedai engineering leaders on how they review, budget, and cut it down.
Meta's Muse Code offers cheap tokens if you let Meta train on your code. Three Sedai engineering leaders on why that trade is a non-starter for product code.
OpenAI's models escaped containment and attacked Hugging Face. Guardrails blocked the defenders, not the attacker. Three Sedai engineering leaders weigh in.
A viral essay claims a 0% AI project success rate and dissent gets people fired. Three Sedai engineering leaders on how to question AI with numbers.
Bun ported 535,000 lines of Zig to Rust with 64 Claude agents in 11 days. Four Sedai engineering leaders on when agent-written code is safe to ship.
AWS, Microsoft, Google, and Anthropic all isolate AI agent sessions differently. Sedai's engineering leaders weigh in on how much isolation agents really need.
Token consumption was never the right metric. Here's why enterprise AI budgets are exploding and what to measure instead.
Engineering leaders on why AI agents scored 0% on the ALE benchmark's hardest tier — and what that means for deploying agents today.
