Biographical Sketch:
Rishab is a Colorado State University graduate with a Bachelor of Science in Computer Science and a minor in General Environmental Sustainability. Prior to joining Forward Edge AI he developed RadML, an open-source radiation-tolerant machine learning framework that enables commercial processors to operate in space environments at 12% of traditional hardware costs. His work has been published in IEEE QRS 2025 and validated through over 28 million test trials, making space technology accessible to universities and smaller organizations previously unable to afford radiation-hardened solutions. Rishab's experience as a Machine Learning Engineer and Software Developer, carve his goals for creating sustainable, cost-effective software alternatives to expensive hardware solutions. He is passionate about how responsible AI can address environmental challenges by replacing resource-intensive technologies with intelligent software solutions that reduce both costs and environmental impact.
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