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Daniel Molina is a computer engineer and founder of Quettos, an AI chip company developing inference chips designed for agent workflows. He is a graduate of the University of Waterloo and is building Quettos with the stated mission of establishing the company before age 30. His work focuses on silicon purpose-built for AI inference, shaped around the demands of agentic workloads such as long-horizon reasoning, tool calls, and memory. He also has academic projects in computer architecture, including a pipelined RISC-V processor in Verilog and a reinforcement learning approach to FPGA logic optimization.
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