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RameshPotnuru

Business Analyst — Founder, Sreekar AI Technologies

Nineteen years translating complex requirements into working systems — across consulting, gaming, and banking, at Deloitte, Electronic Arts, and HSBC. This year I proved I could build those systems myself — with AI, and zero hand-written code.

19
Years across consulting, gaming & banking
3
Global finance employers
$500M+
Multi-product portfolios, Product CFO level
0
Lines of code written by hand

“We need something that catches risky trades before they blow up our book.”

triggerReal-time position monitoring, per instrument
inputsLive price feed · position size · volatility band
ruleFlag when unrealised loss exceeds allocated risk capital
actionAuto-alert, with optional auto-flatten
outputDashboard alert + audit log entry

Where the discipline came from

Before I built anything, I spent 19 years sitting between finance leaders and the technology teams building their systems — hearing a problem in business terms, and turning it into something precise enough to build.

2006 – 2011
FP&A Analyst · Deloitte
Structured financial analysis and variance commentary for US finance leaders. Selected for the Hyperion Planning & Reporting Suite rollout.
2011 – 2014
FP&A Analyst · Electronic Arts
Primary analyst for a $136M annual budget division. Led the FP&A knowledge transfer from Redwood Shores, USA to Hyderabad.
2014 – 2026
Senior Analyst · HSBC, Global Banking & Markets
Eleven years working directly with Product CFOs across multi-product portfolios exceeding $500M — gap analysis, functional specifications, UAT leadership, and stakeholder workshops.
2026 – Present
Founder & Managing Partner · Sreekar AI Technologies
Took everything learned about translating business needs into systems, and used it to build products directly — with AI, without a development team.

Across three global institutions

$500M+

Multi-product portfolios navigated directly with Product CFOs at HSBC's Global Banking & Markets division.

HSBC · Electronic Arts · Deloitte

Requirements gathering, gap analysis, UAT leadership, and stakeholder workshops — the daily discipline of business analysis, years before it had that name on my title.

The bottleneck was never the code

In January 2026, I left HSBC and founded Sreekar AI Technologies to test something on myself: that the discipline behind 19 years of requirements work was itself the missing ingredient in building software, not just specifying it for someone else to build.

A vague requirement produces a vague product, whether the builder is a developer or an AI. A precisely visualised one produces exactly what was intended — fast.

That's the exact skill a Business Analyst brings to the table: narrowing the gap between what the business needs and what the development team can act on.

HSBC · Global Banking & Markets

11 yrs

translating CFO and VP-level requirements into reporting systems that shipped — across portfolios exceeding $500M.

The same discipline, applied to a different kind of build: this page, and everything I've since built, were specified with the same rigor.

Proof, not just a claim

As Founder of Sreekar AI Technologies, I scoped, specified, and shipped the following — end to end, as the Business Analyst, product owner, and builder in one seat.

Live product
sreekarai.com

See the live product suite — interactive demos and a working ROI calculator, open to anyone.

Trading automation engine

A live, rules-based algorithmic trading system for individual investors and private practices — risk controls, execution logic, and reporting, built from a blank page.

Requirements definitionRisk-control specification

Business process agents

A specified product suite covering support-ticket triage, order-to-invoice automation, data reconciliation, and reporting — each scoped with clear client use cases before build.

BRD-equivalent documentationMulti-product scoping

sreekarai.com

The company's own site — including live interactive product demos and a working ROI calculator — designed and built personally.

Stakeholder communicationUX & process visualisation

What I bring to a Business Analyst role

Requirements gathering & BRD Gap analysis Stakeholder workshops UAT leadership Process re-engineering End-to-end product ownership AI-assisted rapid prototyping Banking domain fluency

Nexus V12, a live trading engine

Designed, built, and deployed with zero traditional coding background — using structured prompt engineering and AI-assisted development from end to end.

nexus-v12 — production
purposeLive algorithmic options trading — NIFTY & SENSEX
infraAWS EC2 (Ubuntu), systemd automation timers
brokerLive API integration — real-time chain data & execution
strategyMarket structure break detection, mean-reversion triggers
validationFull paper-trading mode with P&L tracking pre-launch
Built the same way as this page — no template, no development team.

None of this replaces a development team for every kind of build. What it proves is that I can turn a clear business picture into working software fast enough to validate an idea before committing engineering time to it — precisely the value a Business Analyst adds upstream of a build.

Ai

This page is exhibit A. The design and the interaction above were built the same way I built Nexus V12 — a clear picture, directed precisely, with AI doing the typing.

Let's talk about your Business Analyst role

Eleven years inside Global Banking & Markets, paired with proof I can turn a business vision into working software — fast.

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rameshp2402@gmail.com  ·  +91-9959114341  ·  linkedin.com/in/ramesh-potnuru