Documented path
Born 1995 in the Bay Area (first U.S.-born in family); attended Crystal Springs Uplands School; set a junior ultrarunning world mark (100 miles at 16). Berkeley EE Regents Scholar; graduated 2017; recruited by Sam Bankman-Fried into Alameda/FTX inner engineering circle.
Born 1995 in the Bay Area to immigrant parents; first U.S.-born in the family; academically tracked via elite high school and UC Berkeley Regents path.
Former FTX Director of Engineering; pleaded guilty in the FTX fraud cases and cooperated with prosecutors; sentencing/public status evolved through 2024–25 court process.
Where the conditions came from
Each is placed on a −1 to 3 scale from documented evidence, and the three are never added together. A combined total would rank Nishad Singh against other people. Held apart, they explain why this path ran differently from another one—which is the only comparison this project supports.
The marble itself
+2Tailwind
What capability, drive, or early skill is documented in the person rather than their surroundings?
Berkeley EECS Regents Scholar (graduated with high honors). Set a world record for fastest 100-mile endurance run by a 16-year-old. TEDx speaker at 17. Exceptional drive and ability across both technical and physical domains, though not a traditional cognitive prodigy.
Where it was dropped
+2Tailwind
What money, family standing, network, or permission was already in place before the work began?
Attended Crystal Springs Uplands School, an elite private school in Silicon Valley. Family lived in affluent Saratoga, CA. Father Gururaj Singh is a veteran tech executive (former Cisco GM, VP Engineering at Shape Security). Indian immigrant professional family with significant tech industry connections.
The shape of the track
+2Tailwind
What place, timing, institution, or peer group made the next step available?
Crystal Springs Uplands provided the SBF/Gabe Bankman-Fried connection. Berkeley EECS provided elite technical training. The SBF/Alameda/FTX network and the 2017-19 crypto wave created a catalytic (if ultimately destructive) ecosystem for rapid career advancement by age 23-24.
A −1 is a documented headwind, not a missing value; a 0 means the sources record nothing notable either way. Annotation confidence: High. These are analyst readings of what the sources record, not measurements of merit, talent, or effort. The twenty-two scored dimensions remain available inside the deeper research detail.
What moved through the conditions
This records repeated behaviour or recovery described by sources; it is not a grit or merit score.
This is an unchosen opening or condition in the record, not an estimate of how much luck caused the outcome.
Strongest documented signals: Elite institution pipeline, Frontier geography, Family financial platform.
Describes the starting position, not what the person later made of it.
Strongest observed levers: Started serious reps before 20, Prior reps, Scarce skill depth.
Measures what was present, not whether it was inherited, earned, self-built, external, or mixed.
The timeline below shows the sequence of work and transitions around the selected early milestone. It is evidence of a path, not proof that every step was necessary.
Notable and widely recognized within the domain. The tier summarizes documented career recognition through the data cutoff—not Nishad Singh's worth or future potential.
Question four · where did the leverage come from?
Each non-zero lever gets a best-supported origin, evidence signals, and confidence. Unresolved is the honest default when the biography cannot distinguish self-built, advantage-enabled, earned, external, or mixed.
One or more documented starting advantages plausibly enabled this lever.
One or more documented starting advantages plausibly enabled this lever.
One or more documented starting advantages plausibly enabled this lever.
One or more documented starting advantages plausibly enabled this lever.
A structural wave is external to the person, even when their position improved access to it.
One or more documented starting advantages plausibly enabled this lever.
One or more documented starting advantages plausibly enabled this lever.
One or more documented starting advantages plausibly enabled this lever.
One or more documented starting advantages plausibly enabled this lever.
This is a bounded inference from the current annotations—not a claim about private effort, merit, or the percentage of Nishad Singh's outcome attributable to any origin.
Structural luck, Encounter luck, Event luck, Outcome variance can change every arrow in the path. This successful-only dataset cannot observe the near-identical paths that did not break through, so luck stays visible and unscored.
Multiplying capacity documented later in the path. Measures what was present, not whether it was inherited, earned, self-built, external, or mixed.
Access or conditions documented near the beginning of the path. Zero means "no clear evidence in reviewed sources," not "advantage was absent."
Born 1995 and raised in the Bay Area; first generation born in the U.S.; father previously received a Berkeley Regents Scholarship path to the U.S. (court sentencing materials).
Father’s elite-academic path to the U.S. is noted; not a crypto-industry family business.
Singh combined elite technical training (Berkeley EE, Facebook) with early immersion in the 2017–19 crypto boom via Alameda/FTX leadership roles by age ~23–24. Family provided academic pipeline advantages more than industry capital. Later FTX fraud convictions reframe the legacy but do not erase the dated pre-26 engineering-leadership milestone.
advantage confidence: High · source count: 4 · audit: partial_source_verification · status: subagent_researched_beta