Fintech + AI Engineer

I build the systems
traders and quants rely on.

Backtesting, paper trading, and AI-driven market tools — from raw data to the decision.

View Work Download Résumé
0
Years Engineering
0
Systems Built
MERN
+ Python
AI
Model Evaluation

Selected Work

Trading infrastructure, built end to end.

backtest-engine
STRATEGYORB · RELIANCE
+38,420NET P&L
42.5%WIN RATE
1.34PF
-9,120MAX DD
01
DEMO

Backtesting Engine

Test a strategy against history before risking a rupee.

A backtesting engine that runs trading strategies against historical market data and reports how they would have performed — win rate, drawdown, and returns. Built to validate ideas with evidence instead of gut feel.

ReactNode.jsMongoDBPython
paper-trading
OPEN POSITION+185
RELIANCE LONG
Entry 2,450 · SL 2,400 · Target 2,560
2,487LTP
1/3TRADES
1/2OPEN
+2.1%DAY
02
DEMO

Paper Trading System

Trade live markets with zero risk.

A paper-trading system that simulates real trades against live market conditions, tracking a virtual portfolio in real time. It bridges the gap between a backtested strategy and putting real money on the line.

ReactNode.jsReal-time dataMongoDB
ranabrothers.online/edgeverify
LIVEMulti-asset
StocksIndicesCrypto
BacktestPROVE
PaperVERIFY
InvestDEPLOY
03
LIVE

EdgeVerify

The full picture, in one place.

EdgeVerify brings my market tooling together into one product — the analysis, the verification layer, and the interface a user actually touches. Shipped end-to-end over a six-month build using an AI-assisted workflow. This is the live one.

FastAPIPythonLive market dataHTML/CSS
Open EdgeVerify →
invest-timing
ENTRY TIMINGRELIANCE
▲ Accumulate zone — trading below trend after a healthy correction.
04
IN DEV

Long-Term Investment Research

A great asset at the wrong price still bleeds.

A research system that studies whether now is a reasonable time to enter a stock, index, or coin — valuation bands, distance from moving averages, drawdown from highs, and market regime. It turns "it's a good company" into "it's a good entry."

PythonData analysisReactMongoDB

About

Full-stack engineer, wired for markets.

I'm David — a full-stack engineer who builds tools for financial markets. I work across the MERN stack with Python for data and analysis, and I'm currently developing an algorithmic system that studies market data to find strategies and the right moment to enter a trade. I build with AI in the loop, and I've spent time on the other side of it too — training and evaluating AI models to make them sharper.

Frontend

ReactAngularReduxTailwind

Backend

Node.jsExpressREST APIsMongoDB

Data & AI

PythonSQLLLM evaluationAI-in-the-loop

Tools

GitAgileTestingCI/CD

Contact

Building something in markets or AI? Let's talk.

LinkedIn ↗ Résumé (PDF) ↓