The combination of a pure mathematics background with extensive operational leadership is a rare and valuable combination. The site effectively showcases the breadth of experience, from EdTech to political campaigns. However, the transition to SpaceXAI feels somewhat abrupt in the narrative flow. It would be helpful to see more detail on the specific mathematical problems being evaluated to fully appreciate the depth of the current role.
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The profile presents an interesting mix of high-level academic credentials and practical operational experience. It is not immediately clear how the political consultancy work directly informs the current AI research, though the logical connection is implied. The information is well-organized, but the lack of specific examples of published work might leave some readers wanting more concrete evidence of the claimed expertise.
The synthesis of pure mathematics and large-scale operations is presented with exceptional clarity and precision.
Reading through the professional history presented on the site reveals a remarkable trajectory from political operations to frontier AI evaluation. The clarity with which the candidate details his transition from running campaigns to designing research-grade evaluations is striking. It is clear that significant effort has been made to communicate complex achievements in a digestible format. One wonders if there are specific case studies available regarding the mathematical reasoning evaluations, as the current text highlights the methodology but leaves the specific outputs somewhat abstract. Nevertheless, the presentation of twelve years of varied experience is highly compelling for prospective partners seeking a multidisciplinary expert.
The way Aadil Aman structures his professional narrative is impressively seamless, blending pure mathematics with operational strategy in a way that feels both accessible and rigorous. While the dense integration of roles might require some patience to fully unpack, the convenience of finding such a comprehensive profile in one place is undeniable. It saves time compared to piecing together scattered credentials. For anyone interested in the intersection of AI and math, this single page offers a remarkably efficient overview of his extensive background.
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Aadil Aman is an individual professional based in New Delhi, India, working in the Pure Mathematics division at SpaceXAI (formerly xAI), where he designs research-grade evaluations of frontier AI models' mathematical reasoning. His work includes building original problems from contemporary mathematics literature, performing error analysis, and authoring gold-standard solutions against detailed rubrics. Prior to this role, he spent twelve years in operations and leadership, including serving as COO of a political consultancy during the 2025 State Assembly Elections, working as Assistant Director at a policy advisory firm, and directing academic operations for over 30,000 students at an EdTech platform. He is an alumnus of NISER and a Silver Medalist at the Indian National Mathematical Olympiad (INMO).
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- aadilaman.com
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- Computer software, Information services