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AgenticAI,builtforfinance.

Finance & Marketing student at Hult, building AI agents and automation for real financial workflows — where generative AI meets quantitative finance and complex data pipelines.

Agentic AIQuantitative FinanceLLM AgentsFinancial Modeling
Two paths, my toolbox and a goal

I study both paths of a business, the finance that measures value and the marketing that creates it, and teach myself the technical side through curiosity, trial and error. That means writing Python, digging into data and turning raw numbers into analysis, with AI as my co-pilot and imagination deciding what to build next. There’s no limit to what I’m bringing into finance, to innovate in it, not just work in it.

Fig. 0 — The model proposes. Code enforces. Proposed 0Executed 0Escalated 0
01 · INPUTRequest 02 · LLM AGENTProposes 03 · POLICY GATEEnforcesBLOCKED 04 · ENGINEComputes 05 · OUTPUTModel · memo ESCALATEHuman review LangGraph · Granite NumPy · SciPy · Move
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AgenticAI,builtforfinance.

Finance & Marketing student at Hult, building AI agents and automation for real financial workflows — where generative AI meets quantitative finance and complex data pipelines.

Agentic AIQuantitative FinanceLLM AgentsFinancial Modeling

Studying & building at the intersection of finance and agentic AI — open to finance & AI opportunities.

Fig. 0 — Propose → enforce P 0X 0Esc 0
01 · INPUTRequest 02 · LLM AGENTProposes 03 · POLICY GATEEnforcesBLOCKED 04 · ENGINEComputes 05 · OUTPUTModel · memo ESCALATEHuman review LangGraph · Granite NumPy · SciPy · Move
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AgenticAI,builtforfinance.

Finance & Marketing student at Hult, building AI agents and automation for real financial workflows — where generative AI meets quantitative finance and complex data pipelines.

Agentic AIQuantitative FinanceLLM AgentsFinancial Modeling

Studying & building at the intersection of finance and agentic AI — open to finance & AI opportunities.

01 · INPUTRequest 02 · LLM AGENTProposes 03 · POLICY GATEEnforcesBLOCKED 04 · ENGINEComputes 05 · OUTPUTModel · memo ESCALATEHuman review LangGraph · Granite NumPy · SciPy · Move
Fig. 0 — The model proposes. Code enforces. Proposed 0Executed 0Escalated 0
Recognition

Challenges & Achievements

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Toolkit — what I build with
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About

Finance, meet agentic AI

I'm a Finance & Marketing student at Hult who builds AI agents and automation systems for real financial and operational workflows — working at the intersection of generative AI, quantitative finance, and complex data pipelines.

I've shipped systems that are more than demos. PitMind is an AI Formula 1 strategy platform built on IBM Granite and live race telemetry; OpsFlow is a policy-bound AI operations agent on the Sui blockchain that turns natural language into secure, auditable workflows. Each one taught me how to design multi-step agents, enforce guardrails, and ship reliably.

On the finance side, a finance internship plus tools built on SEC data and market analysis gave me a working foundation in valuation, risk, and capital markets. I'm most interested in roles that combine agentic AI, robust financial modeling, and systems thinking — in AI engineering, fintech, or finance teams that want to use modern AI well.

F-1 visa holder — OPT-eligible with the 24-month STEM extension, giving up to 3 years of U.S. work authorization.

Played competitive soccer growing up — finance became the sport I switched to.

How I Work

Two habits behind the output

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From my internship at The 1525
“He could take an objective, work through ambiguity, and deliver thoughtful, polished work without requiring constant supervision. As a founder, that level of reliability is something I value tremendously.”

Jason Sizer · Director, The 1525

Featured Apps

Live Coding Projects

Lifeline team's 1st place win announced on screen
Term sheet · No. 01 · Featured
1st placeLocal AI Hackathon · Dell & NVIDIA

Lifeline — from orbit to heartbeat

A human-in-the-loop triage and dispatch system for post-earthquake search and rescue, engineered end-to-end in a single day and placed first among 40 competing teams.

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Term sheet · No. {{ p.n }}
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Lifeline · illustrative replay

Which structure first?

Each square is a collapsed structure, shaded by graded damage. The queue orders rescue effort by survivor likelihood. Dashed squares have no life-sign reading, and they stay in the queue.

Queued 0Dispatch · human-approved

No signal never means nobody.
Featured Finance Projects

Finance & Quantitative Tools

Fig. 1 — Move the assumptions yourself · Orcen Capital
Yrs 1–5
Terminal value

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Enterprise value
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Across the full range of both inputs
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Sensitivity · EV in $T · WACC down, growth across
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Python · SEC EDGAR API · Excel

Company Health Red-Flag Scanner

Screens 600+ US-listed companies using SEC EDGAR XBRL data. Runs 11 models (5 bankruptcy, 6 earnings-quality and accounting red-flag, including Beneish M, Dechow F and Montier C) plus Piotroski F, producing a composite Health Score and an auto-generated earnings-quality risk card.

Download the Excel (all 600 companies) ↗
Featured Client Work

Real-World Engagements

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Keep Exploring

Everything in the Portfolio
Engineering & Tech

Coding Projects

How these systems are built

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1st Place Local AI Hackathon — Dell & NVIDIA · Team projectMission specs

Lifeline — from orbit to heartbeat

Lifeline is a human-in-the-loop triage and dispatch system for post-earthquake search and rescue, engineered end-to-end in a single day and placed first among 40 competing teams. It fuses Copernicus EMS structural damage grading with Maxar pre/post-event satellite imagery into a probabilistic survivor-likelihood score for every collapsed structure in the affected area, continuously re-weighted as new life-sign telemetry comes in. A constrained vehicle-routing layer built on Google OR-Tools converts that ranking into optimized multi-team dispatch plans, which a human commander reviews and authorizes over a live Telegram command channel.

The entire reasoning stack runs as local inference on a single Dell Pro Max workstation — no external API calls, no cloud dependency — and is engineered to communicate its own epistemic limits: every ranking is surfaced as a decision aid rather than a verdict, and the system is explicit about which inputs are live sensor data versus simulated for the demo.

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From the hackathon
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Watch the demo ↗View team repo ↗
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Only used to send you that link. The free demo below works any time; if it's asleep, press the wake-up button and wait about 30 seconds.
Real-World Experience

Client Work & Presentations

Consulting and analysis engagements delivered for real businesses. For internships and employment history, see .

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Marketing

Marketing Projects & Research

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Financial Work

Finance Portfolio

Flagship project

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Try it · Red-Flag Scanner

Pick a company profile

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Illustrative profiles. The real scan runs on 600+ companies' SEC filings.

Download the full Excel ↗
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Professional Experience

Experience

Finance-focused experience across analytical, client-facing, and operational roles — the groundwork behind the finance-and-AI systems I build today.

The thread across all of them: turning messy inputs into reliable, decision-ready output — whether that's an equity-screening pipeline, a client proposal, or a day's cash reconciliation.

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Systems → Risk Decisions

Case Studies

The strongest signal isn't the number of tools you know — it's whether a technical system connects to an actual risk decision. Each project below is framed that way.

For every one: the uncertainty it faced, the control I designed to bound it, the trade-offs that introduced, how I tried to break it — and when I'd distrust it, plus the safeguard I'd add next.

APPROVED
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Risk decision it informs

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In finance terms
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Essays

Writing

Ideas from building — AI systems, financial analysis, and what happens when you combine the two.

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Credentials

Certificates & Achievements

42 Forage virtual job simulations plus 3 Forage short courses, 6 Coursera courses, and 2 IBM SkillsBuild credentials completed across banking, finance, consulting, technology, and business.

Selected credentials
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Click any credential to see what it covered. Those marked ✓ link to their certificate.

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{{ c.skills }}View verified certificate ↗
What others say

Recommendations

From my internship at The 1525
“He could take an objective, work through ambiguity, and deliver thoughtful, polished work without requiring constant supervision. As a founder, that level of reliability is something I value tremendously.”
Jason Sizer · Director, The 1525
The full letter
Download PDF ↓

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Sincerely,
Jason Sizer
Director, The 1525