Currently · Head of Product, B3X.ai

Balamurugan Ganesan

I build at the intersection of product judgment and market structure.

Fifteen years building products where the cost of being wrong is measured in regulatory fines and client withdrawals. From institutional trading systems handling $1B+ monthly volume to DeFi and AI products built from scratch.

Previously
FalconXArcesiumBank of AmericaBNP ParibasCRISIL
$1B+Monthly tradingvolume scaled
$500B+Client assets overseenacross 4 regimes
<50msExecution latencyon algo path
15+Years in regulatedfinancial infrastructure
01About

The pattern is market structure plus product craft.

I work where fintech product meets trading infrastructure, DeFi, and AI. The common thread is simple: I am drawn to systems where product decisions affect capital, risk, compliance, and execution quality, not just user engagement.

Over fifteen years: compliance platforms overseeing $500B+ in client assets, hedge fund portfolio and accounting infrastructure, institutional crypto trading systems scaled to $1B+ in monthly volume, and AI and DeFi products built from scratch.

The pattern across all of it is market structure plus product craft. Trading platforms, settlement workflows, risk systems, tokenized finance, and AI copilots all fail when the product team only understands the interface. The real work is understanding what happens underneath: execution, liquidity, reconciliation, regulation, latency, incentives, and failure modes.

I write about trading platforms, algorithmic execution, DeFi market structure, and AI systems operating in high-risk domains. I trade and build public products because staying close to live systems keeps the thinking honest.

Balamurugan Ganesan
02Experience

Proof across institutional finance, crypto, and 0 to 1 products.

2024 — present
B3X.ai
Seed stage

Head of Product

First product hire · 0 → 1 across three flagship products in 6 months

Led 0 → 1 development across three flagship products: an AI trading copilot for perpetual DEXes and prediction markets, a perpetual DEX with synthetic RWAs, and AI-powered tokenized fund products. Designed liquidation engines, dynamic margin systems, funding-rate mechanisms, and oracle price feeds with multi-source redundancy.

500+ users · $3M volume · $500K TVL · 6 months
2023 — 2024
FalconX

Product Manager, Trading & Operations

Built and scaled the institutional electronic trading platform

Built and scaled the institutional electronic trading platform aggregating liquidity from 15+ global LPs. Launched the FX trading desk enabling crypto to fiat trading in 25+ currencies with real-time settlement. Drove predictive inventory management and treasury automation.

$1B+ monthly volume · <50ms algo path · 40% efficiency gain · 50% reconciliation automated
2021 — 2023
Arcesium (D.E. Shaw Group)

Product Manager, Portfolio & Accounting

Cloud-native PMS / accounting for hedge funds with $1B+ AUM each

Led product for a cloud native portfolio management and accounting platform serving global hedge funds with over $1B AUM each. Multi-asset, multi-currency, complex fund structures. Owned roadmap and release execution across a 30+ engineer team.

$1B+ AUM each · 30+ engineers · 50% infra cost reduction · 30% support reduction
2018 — 2021
Bank of America

Feature Lead, Compliance & Risk

Global compliance platform for client money segregation

Led product for a global compliance platform managing client money segregation across multi-jurisdictional regulatory regimes. Delivered a Brexit-compliant version on a six-month accelerated timeline. Built predictive risk analytics to forecast segregation requirements across EU, APAC, and Americas.

$500B+ client assets · 4 regulatory regimes · 0 post-launch issues · 6 months Brexit delivery
2015 — 2018
CRISIL

Lead Analyst, Product Management

Built product management function from scratch

Built product management function from scratch. Launched three products covering financial modeling, data analysis, and earnings management. Scaled team and delivered 50+ client demos.

3 products launched · 2 → 15 team scaled · 80% time savings · 50+ client demos
2012 — 2015
BNP Paribas

Senior Business Analyst — APAC Derivatives

Front-to-back F&O across seven exchanges

Implemented derivatives products across seven APAC exchanges (NSE, SGX, HKEX, ASX, KRX, TSE, NZX). Managed front-to-back-office operations for F&O markets including trading, clearing, settlement, regulatory reporting, and exchange reconciliation.

7 exchanges · NSE · SGX · HKEX · ASX · KRX · TSE · NZX

Earlier: Software engineering and product consulting roles at a US telecom, an e-commerce marketplace, and a product consultancy.

03Projects

Public products I am building.

Personal projects I build in public alongside my product work. These are working products used to explore AI trading workflows, execution infrastructure, Web3 commerce, and the product gaps I write about.

LIVELONG · webhook firedBTCUSDT · 4H · paper+4.2% · 12 trades

PineStrat.AI

AI trading strategy builder with webhook-driven execution and a real risk engine.

Describe a trading strategy in plain English. PineStrat generates Pine Script v6 code, receives webhook alerts when the strategy fires, applies a configurable risk engine, and executes paper trades on Binance Testnet with a real-time dashboard.

ReactTypeScriptFastAPIAnthropic ClaudeccxtBinance Testnet
LIVEWeb2 UXReact · Vercel · Supabase autheventsSubgraphThe Graph · AlchemyPostgresrich metadata · SupabaseEthereum · EscrowSolidity smart contracts · funds held on-chainhybrid · web2.5 commerce3 layers · event-driven

CryptoCart

A Web2.5 commerce architecture. Blockchain escrow, event-driven webhooks, Web2 UX.

Ethereum smart contracts hold funds in escrow, a custom subgraph indexes blockchain events, and a Postgres database stores rich metadata. The thesis: crypto commerce is stuck because teams try to put everything on chain. The right answer is hybrid.

SolidityThe GraphAlchemySupabaseReactVercel
04Skills

The domains I want to be known for.

The areas I work in, write about, and build around. This list is intentionally focused on the intersection I want to own publicly: financial markets, product systems, trading infrastructure, DeFi, and AI.

ShippedWorking knowledge

Product Domains

DeFi protocol designPerpetual DEX architectureTokenizationPrime brokerageOff-exchange settlementTrading systemsOMS / EMSAlgorithmic executionPortfolio and accountingRegulatory complianceRisk systemsMarket microstructure

AI and Machine Learning

LLM integrationAgent architecturePrompt engineeringRAG for financial documentsProduction MLOpsReinforcement learningTime-series modeling

Engineering

TypeScriptPythonSolidityReactNext.jsFastAPIPostgreSQLThe GraphHardhatccxtTailwind CSS

Trading and Finance

EquitiesDerivatives (F&O)FXCrypto perpetualsSpot cryptoBacktestingLive executionRisk management

Tools and Infrastructure

AWSVercelSupabaseAlchemyAnthropic ClaudeGitLinux

Credentials

CFA Level IIIMBA, SP JainB.Tech ECE, NIT CalicutEPAT (Algo Trading)Deep Learning, IIT Madras
05Writing

Writing on fintech, trading, DeFi, and AI.

A growing archive of articles and LinkedIn essays. I write about financial technology from a builder and operator perspective: what breaks in production, what institutions care about, and where AI and Web3 are actually useful.

6 Projects That Prove You Can Be an AI PM in 2026

A practical roadmap for PMs who want to prove real AI product judgment through hands-on projects covering prompts, context, RAG, model tradeoffs, evals, guardrails, and production behavior.

Why stablecoin treasury products keep failing at the last mile

A look at why crypto-to-fiat treasury products keep stalling out at the conversion step, and what the next generation needs to get right.

How institutional crypto FX desks actually price spreads

A breakdown of how OTC desks set spreads on crypto-to-fiat trades, drawing on the desk I built at a crypto prime broker.

More writing on LinkedIn
06Contact

Continue the conversation.

Reach out for product conversations, fintech and trading platform discussions, consulting opportunities, or roles where institutional finance, DeFi, and AI meet.

Or download my resume:

Resume (PDF, ~120KB)