Dr. Asyikeen Azhar

Designing the system behind KLARva

Dr. Asyikeen Azhar leads the technology and product architecture at KLAR, where she focuses on turning AI from a tool into a working system.

With a Doctor of Engineering (Computer Science) from Singapore Management University and a background in machine learning and analytics, Asyikeen has spent years building models that don’t just perform in theory, but translate into real-world decisions. Her work spans both research and applied industry settings, with a consistent focus on turning complex data into usable systems.

At KLAR, she designs and builds the multi-agent architecture behind KLARva from the web application to the underlying APIs, data pipelines, and feedback loops. The system takes in brand context, platform signals, and content inputs, and turns them into clear, structured direction on what to post, how to make it, and why it works.

Rather than relying on one-off prompts or generic outputs, her approach focuses on building workflows where each component has a defined role, and intelligence is shaped through the system as a whole.

Asyikeen’s work is grounded in a simple belief: AI shouldn’t replace creative work. It should support better decisions before that work begins. She focuses on designing systems that reduce guesswork, remove unnecessary friction, and help teams move from scattered ideas to consistent execution.

Her approach to building KLARva focuses on:

• Structuring AI as a system, not a prompt-based tool
• Translating domain knowledge into usable decision frameworks
• Designing agent workflows that mirror real creative processes
• Turning unstructured inputs into clear, actionable outputs
• Bridging research, engineering, and product into one cohesive system