portfolio
Shriraghav Ashok
building ai systems at the intersection of computational finance, rare-event modeling, and applied machine learning.
applied ai / mlcomputational financefinancial systemsfintechregtech
berkeley, ca
01education
university of california, berkeley
b.s. business administration & computer science
u.s. news 2026: #1 public university in the united stateshaas spieker undergraduate program (<2% acceptance rate)gpa: 4.00
basis peoria
high school high honors diploma · peoria, az
u.s. news 2024: #1 high school in the united statesgpa: 4.73 · act: 35 · sat: 152014 ap exams (all 4s and 5s)
02experience
currently
previously
03distinctions
finance
2ndmorgan stanley case competition
3rd / 1,000yis bloomberg global stock pitch competition
top 100 @ yis global case competition
morgan stanley jumpstart scholar
bloomberg market concepts pilot program invitee
youth capital grants national finalist (5th)
tech
1stnarc research conference
best paper runner-upieee icdm ughs
nexus ai fellow — 1 / 50 selected nationally
accepted @ ieee mit urtc main technical track
accepted @ ieee icdm ughs
yc startup school
yc internship expo
public policy
3rd / 18,000varsity public forum · international ranking
2ndstanford invitational
1st in arizona across all events · nsda ranking
arizona asdca public forum state champion
8 tournament of champions qualifying bids
3rd @ jack howe csu long beach · 1st speaker
3rd @ unlv golden desert
5th @ uc berkeley cal invitational
9th @ florida blue key
nsda all american
nsda seal of premier distinction
04projects
reflex
equilibrium fixed-point learning for otc bond markets, where a dealer's own policy reshapes the market it learns from.
horizon
action-conditional system for certifying intraday settlement risk in fedwire-style payment systems.
aegis
aml compliance engine surfacing money-laundering patterns across sumsub transactions. adopted by kira.
vigil
order-matching engine for binary prediction markets — microsecond matching with price-time priority.
clusion
ai-native debate platform combining evidence retrieval, coaching, judge analytics, and tournament planning. 10,000+ users across 7 countries.
05publications
fs-prem: physics-aware prediction of hurricane-induced port disruptions along the us gulf coast.
nexus: a probabilistic early warning system for financial liquidity crises in intermediate us banks.
06resume
Shriraghav Ashok — resume
uc berkeley · cs & business
07contact