Education
Experience
- Selected for a highly competitive two-month residency, building ML systems at the frontier of finance and technology alongside a small cohort of fellows.
- Building agentic AI systems to automate KYT approvals and AML transaction monitoring on Kira's stablecoin-based global payment infrastructure.
- Deployed Latin American expansion, deploying automated compliance across Colombia, Mexico, and Lima.
- Designed ML-based probabilistic Early Warning System to predict financial liquidity crises, improving accuracy by 7%. Research accepted at IEEE MIT URTC Main Technical Track.
- Designed physics-aware Early Warning System to predict hurricane-induced port disruptions, improving accuracy by over 11% and prediction times to under 20 seconds. Research received Best Paper Runner Up at IEEE ICDM UGHS.
- Mentored by Morgan Stanley professionals over 5 months, exploring finance principles, market dynamics, and investment frameworks.
- Competed in Morgan Stanley Case Competition — constructed a corporate bond offering for Southwest Airlines as lead left bookrunner. Awarded finalist pitch (top 4).
- Co-organized the largest youth-led hackathon in the US, raising $1,500,000 in sponsorships from over 30 companies including A16Z, Cursor, Lovable, and JPMorgan, reaching 1,500 participants nationwide.
- Conducted market analysis, comparable company analysis, and DCF modeling to develop an investment report for initiation of Avenues Supermarket to a $3B portfolio.
- Presented findings to company CEO, featured on the Young Investors Society newsletter reaching over 25,000 monthly readers, and received 3rd / 1,000+ in the Global Stock Pitch Competition.
Distinctions
Projects
FS-PREM
Physics-aware ML framework for predicting hurricane-induced port disruptions along the US Gulf Coast.
Nexus
Probabilistic early warning system for detecting financial liquidity crises in intermediate US banks.
Clusion
AI-native debate platform combining evidence retrieval, coaching, judge analytics, and tournament planning.
Aegis
On-demand compliance system surfacing money-laundering patterns across SumSub transactions, with risk scores ready for compliance teams.
Publications
FS-PREM — Port Disruption Prediction
Physics-aware framework for hurricane-induced port disruption forecasting across 120,000+ advisory-port observations, improving AUC by 11% over baseline methods with 99% uncertainty coverage.
Nexus — Financial Liquidity Crisis Early Warning System
Probabilistic ML-based early warning system integrating alternative data, improving predictive performance 664% and top-risk bank identification accuracy by over 2×.
Events
Resume
Contact
- Emailshriraghav.a524@gmail.com
- Phone(623) 249-1112
- GitHubgithub.com/raghavashok24
- LinkedInlinkedin.com/in/shriraghav-ashok