Ashutosh Nanda is a software engineer based in New York with 11 years of industry experience and a CS degree from Columbia Engineering, complemented by minors in Statistics, Applied Math, and Economics. Since 2018 he has been building production-scale systems at Google, bringing a data-driven mindset informed by internships and research roles across Facebook, NBCUniversal, Capital One Labs, and several Columbia research centers. He specializes in applying machine learning to develop innovative features and has a strong foundation in both theory and applied data science from extensive teaching assistant and research experience. Ashutosh’s background spans academia and industry, giving him a knack for translating complex statistical ideas into practical product improvements. Colleagues would note his early and recurring roles in teaching and research as evidence of strong communication and mentoring skills alongside technical depth. He combines Ivy League training with Silicon Valley execution, often operating at the intersection of ML modeling and software engineering.
12 years of coding experience
1 year of employment as a software developer
High School Science Mathematics and Computer Science Magnet Program, High School Science Mathematics and Computer Science Magnet Program at Montgomery Blair High School
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Columbia Engineering
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