PORTFOLIO — ALEKS ARRIOLA
Agentic AI, built for finance.
Finance & Accounting student at Hult, building AI agents and automation for real financial workflows — where generative AI meets quantitative finance.
Agentic AI Quantitative Finance LLM Agents Financial Modeling
↓ Scroll · or hover the constellation
Two paths, my toolbox and a goal
I study the finance that measures value and the marketing that creates it — and teach myself the technical side through curiosity, trial and error. AI is my co-pilot; imagination decides what to build next.
FIG. 0 — The model proposes. Code enforces.
PROPOSED 0 · EXECUTED 0 · ESCALATED 0
01 · INPUT Request
02 · LLM AGENT Proposes
03 · POLICY GATE Enforces
04 · ENGINE Computes
05 · OUTPUT Model · memo
ESCALATE Human review
LangGraph · Granite
NumPy · SciPy · Move
BLOCKED
The LLM only proposes — a deterministic policy gate and on-chain contracts enforce every decision, or escalate it to a human.
Recognition — challenges & achievements
Toolkit — what I build with
About — finance, meet agentic AI
Selected systems
Work
Live systems at the intersection of agentic AI and quantitative finance — each one something you can open and inspect.
Systems → risk decisions
Case Studies
Each system framed by the risk decision it informs, the control I designed to bound it, the trade-offs that introduced, and when I'd distrust it.
Financial work
Finance
Tools and models built on real SEC and market data — screening, valuation, and the controls around them.
Areas of practice
Professional experience
Experience
Finance-focused roles across analytical, client-facing, and operational work — the groundwork behind the systems I build today.
Essays
Writing
Short essays from building — AI systems, markets, and what happens at their intersection. A new one publishes most days.
Credentials
Certifications
Virtual experience programs and courses across banking, finance, risk, and technology.
Toolkit
Contact
Let's connect.
Open to finance + AI opportunities. Interning at The 1525 while studying and building.