♠ ♥ ♦ ♣  Volume Nº 1 · Issue 01
GAT Quarterly
The Ten Hands Issue · 2026
♠ ♥ ♦ ♣   Ten Hands. One Player.

The Builder's Game.

PE intern. PhD candidate in AI. CFA Level I candidate. Data analyst. Master's in Computer Science. Poker player. Ten hands, one profile — the strongest hand goes first.

★   The Opening Hand
A K Q J 10

I don't have a perfect background, but I bring grit, curiosity, and the hunger to prove myself.

— The Statement · p. 19
★   The Headline PE Intern PhD Candidate in AI CFA Level I Candidate Data Analyst MS Computer Science FINRA SIE Certified Bloomberg Certified Poker Player
Read the
hand★ Contents Ten ranked hands, ten ranked sections. The strongest hand goes first.
01. Royal Flush The DeskBrookford Partners p. 04 02. Straight Flush The LedgerAG FinTax p. 07 03. Four of a Kind The PapersPublished research p. 10 04. Full House The DepartmentsEducation p. 13 05. Flush The CredentialsCertifications p. 15 06. Straight The InventoryWorking stack p. 17 07. Three of a Kind The EndorsementsTop skills p. 19 08. Two Pair Currently BuildingDemeredius + CFA p. 21 09. Pair The StatementAbout p. 23 10. High Card The CorrespondenceContact p. 25
p. 04 / 28
Hand 01 / 10 Royal Flush
A K Q J 10

Currently: private equity
portfolio operations.

The strongest hand on the table — current, ongoing, and the reason for the move to New York. Portfolio operations, reporting, and investor-facing work.

★   The Current Post

Brookford Partners

Private Equity Intern  ·  May 2026 — Present
01Build and maintain 5+ KPI dashboards and weekly reporting packages tracking revenue, occupancy, and 15+ operational metrics for Brookford Partners' portfolio investment.
02Coordinate client-facing reporting workflows, consolidating data from multiple internal teams into clean, presentation-ready materials for portfolio updates and investor touchpoints.
03Pull and structure detailed data reports from Dubsado CRM, translating raw platform data into actionable insights for the investment team.
04Prepare meeting materials, investor profiles, and background briefs for prospect conversations and late-stage client activity.
05Support backend setup of Meta and Google Ads campaigns and SEO improvements on WordPress, contributing to portfolio company revenue initiatives.
06Track prospect pipeline activity and support meeting prep, including creating investor profiles and organizing materials ahead of late-stage prospect calls.
p. 07 / 28
Hand 02 / 10 Straight Flush
9 8 7 6 5

Nearly two years shipping
a firm's data backbone.

A run of cards in sequence, all one suit — twenty-two months of consistent build work. Backend services, dashboards, and reporting infrastructure for a tax and financial services firm.

★   The Recent Post

AG FinTax

Data Analyst  ·  July 2024 — May 2026
01Built Java and Python microservices to automate tax data workflows and reporting pipelines, following distributed services architecture and SDLC best practices maintained via GitLab.
02Developed React-based dashboards for internal teams to monitor client tax positions, filing statuses, and financial exposure across multiple accounts.
03Integrated third-party financial data APIs into backend systems to pull real-time market and tax data, improving accuracy and reducing manual processing time.
04Worked directly with tax advisors and operations teams to translate complex financial requirements into structured data models and automated reporting frameworks.
05Maintained MongoDB and SQL databases storing client financial records, ensuring data integrity, access controls, and audit-ready documentation.
06Built analytical models to evaluate client surplus capital allocation options, comparing tax-efficient investment vehicles across equity, fixed income, and alternative asset classes to support advisor recommendations.
07Developed portfolio-level reporting tools that tracked asset performance, tax exposure, and rebalancing signals across client holdings, feeding directly into advisor-client meetings.
p. 10 / 28
Hand 03 / 10 Four of a Kind
A A A A K

Two papers, one thesis.

Original research on where retail-facing markets meet gaps in regulation — one on prediction markets, one on retail options.

Paper Nº 01SSRN

Prediction Markets as a Money Laundering Vector: The Coordinated Loss Problem

A framing of how coordinated losses in prediction-market venues can be used to move value between parties, and what that means for AML frameworks that were never designed for this asset class.
Paper Nº 02SSRN

Frictionless Losses: Deregulation, Exchange Incentives, and a Case for Platform-Level Risk Controls in Retail Options Markets

Deregulation removed the friction that used to protect retail traders from the fastest ways to lose money. The paper makes the case for platform-level risk controls — the guardrails the rulebook no longer provides.
"
The prediction markets paper attracted engagement from a former DOJ / FinCEN attorney and led to a conference speaking invitation.
p. 13 / 28
Hand 04 / 10 Full House
K K K Q Q

Three rooms, three lessons.

Three of a kind backed by a pair — a PhD in progress on top of two completed degrees. Electronics engineering into computer science into artificial intelligence.

★   School 01

PhD in Artificial Intelligence

Doctoral candidate

In Progress · 2026 —
★   School 02

CSU Long Beach

M.S., Computer Science

Aug 2021 — Dec 2023
★   School 03

KL University

B.Tech, Electronics & Computer Engineering

Jul 2017 — May 2021
p. 15 / 28
Hand 05 / 10 Flush
A J 9 7 4
I. Bloomberg Market Concepts CERTIFIED
II. Securities Industry Essentials (SIE) FINRA · PASSED
III. SnowPro Core CERTIFIED
IV. Option 101 CERTIFIED
p. 17 / 28
Hand 06 / 10 Straight
7 6 5 4 3

The working stack.

A run of tools across the whole build — languages, frameworks, storage, and the PE-operations layer sitting on top.

A.01 Backend JavaPythonMicroservicesFinancial APIsSDLC CORE
A.02 Frontend ReactDashboardsReporting UIs CLIENT-SIDE
A.03 Data & Storage MongoDBSQLGitLabAccess controlsAudit trails FOUNDATION
A.04 PE Operations KPI dashboardsWeekly reportingDubsado CRMInvestor briefs PORTFOLIO
A.05 Growth Meta AdsGoogle AdsSEOWordPress REVENUE
A.06 Finance Tax-efficient allocationPortfolio reportingEquity / Fixed Income / AltsBloomberg MARKETS
p. 19 / 28
Hand 07 / 10 Three of a Kind
8 8 8 K 2

Three top skills.

The three that define the direction — the engine, the arena, and the everyday craft.

i.
Artificial Intelligence
THE ENGINE
ii.
Private Equity
THE ARENA
iii.
Financial Modelling
THE CRAFT
p. 21 / 28
Hand 08 / 10 Two Pair
J J 5 5 9

Two builds, shipping now.

★   Active · 2026

Demeredius

An AI-powered diligence tool for deal teams.

DEMEREDIUS.COM
★   In Progress · 2026

CFA Level I

Sitting for the first exam. Preparing on nights and weekends.

CANDIDATE · CFA INSTITUTE
p. 23 / 28
Hand 09 / 10 Pair
10 10 A 7 3
"

I'm Guru Akhil Tavva. I have a Master's in Computer Science, a PhD in Artificial Intelligence in progress, and hands-on experience spanning private equity operations, financial research, and AI engineering.

I'm currently interning at Brookford Partners in PE portfolio operations while building Demeredius, an AI-powered diligence tool for deal teams, and preparing for CFA Level I.

I've always believed that where you come from doesn't define where you can go. I learn fast, adapt quickly, and never hesitate to take initiative. I published original research on prediction markets that attracted engagement from a former DOJ / FinCEN attorney and led to a conference speaking invitation.

I don't have a perfect background, but I bring grit, curiosity, and the hunger to prove myself. I'm looking to work at the intersection of AI and private markets, where the next decade of finance is actually going to be built.

— G. A. T.
p. 25 / 28
Hand 10 / 10 High Card
A J 9 6 2

Write a letter.

Sometimes you play the single highest card — an introduction. Roles, ideas, and hands of poker, all welcome. Email is the fastest line.

★   The Card
Portfolio guruakhiltavva.com
Based New York, NY
Open to AI & private markets roles