Shriraghav Ashok

Building AI systems at the intersection of computational finance, rare-event modeling, and applied machine learning.

Applied AI / ML Computational Finance IEEE Research Rare-Event Modeling Venture Capital

Education

University of California, Berkeley — Haas

B.S. Computer Science & Business Administration

Expected May 2029 · Berkeley, CA

BASIS Peoria

High School · Peoria, AZ

GPA: 4.73 · ACT: 35 · SAT: 1520

MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)

AI Research Fellow

Jun 2026 – Present

Building ML pipelines on the Mantis platform — a visual data science and agentic AI system developed at MIT CSAIL's Kellis Lab.
Leading applied work on Mantis's fintech branch, engineering graph-based agentic workflows and multi-source financial data ingestion pipelines to deploy production-grade AI across institutional financial workflows.

Kira

Machine Learning Engineer

May 2026 – Present

Building ML bots to automate KYT approvals and AML transaction monitoring on Kira's stablecoin-based global payment infrastructure.
Supporting LatAm expansion — backed by $6.7M seed from Blockchange Ventures, Stellar Development Foundation, and Michael Seibel — deploying automated compliance in Colombia, Mexico, and Lima.

BU1LD

Quantitative Finance Researcher

Apr 2026 – Present

Building Liquidation Graph World Model (LGWM) — differentiable graph-based simulation of hedge-fund liquidation cascades and systemic stress.
Received over $500,000 in funding from NVIDIA, AWS, Microsoft, MIT, and Stanford; additionally backed by Blackstone.

Horizon Labs

AI Engineer · Microsoft Sponsored · 1 of 5 HS students invited

Jun 2025 – Present

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.
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.
Led team of 5+ to design 6 applied AI projects to scale startup growth, reaching over 15,000 views.

Morgan Stanley

Finance Academy Scholar · Cohort of 120

Oct 2025 – Mar 2026

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).

NexHacks

Co-Organizer

Oct 2025 – Jan 2026

Secured $1,500,000 in sponsorships from A16Z, Cursor, and JPMorgan — one of the largest high school hackathon fundraises in the country.
Scaled event to 1,500 student participants nationwide, managing logistics, partnerships, and programming end-to-end.

Boston Commons Asset Management

Financial Analyst Intern

Jun – Oct 2025

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 and featured in the Young Investors Society newsletter, reaching over 25,000 monthly readers.