Nathan Singiri is a software engineer with experience at prominent firms including Goldman Sachs, LPL Financial, Bloomberg, and Meta. At Goldman Sachs, Nathan focused on building custody and trading systems for institutional clients and contributed to the Global Markets division's control design. Prior to that, Nathan served as an Associate Service Consultant at LPL Financial, where the review of estate-related documentation and processing claims was key. Currently, Nathan is involved in financial analytics at Bloomberg and works on generative AI at Meta. Nathan holds a Bachelor of Science in Mathematics and Economics from UC San Diego, alongside a high school diploma earned summa cum laude from Canyon High School.
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