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kelley direct admit. builder. trader.
// p.s. built this for uni apps — now at kelley.
Kavi Choudhary is a Direct Admit at Indiana University’s Kelley School of Business (B.S. Business, Management; GPA 4.00) and the founder of FXSentinel, an AI-powered forex analysis platform used by 525+ retail traders. He builds fintech and AI products, trades global macro across multiple markets, and recently interned at UltraSafe AI on GTM strategy and content automation.
entry: Jun 2026
AI Automation & GTM Strategy Intern at us.inc. Produced confidential GTM and market-positioning docs for Stones.ae, and built an n8n social content automation pipeline posting 5–7× daily across X, LinkedIn, and Facebook.
entry: Jul 2025
Solo-built full-stack AI forex analysis platform — 1,200+ file codebase, 60+ REST endpoints, 15+ APIs (Stripe, Binance, TradingView, Finnhub, Kalshi). Hybrid Gemini + GPT pipeline with news ingestion, alerts, and growth systems.
entry: Aug 2024
iOS goal-tracking app with journaling and behavioral insights. Designed, developed, and launched in Swift — 2,200+ TikTok followers, 200+ downloads. Since removed from the App Store due to inactivity.
entry: Jan 2023
Self-funded financial literacy platform for underserved communities. Interactive resources on budgeting, saving, and investing, plus a custom admin panel — 1,000+ readers reached.
entry: Jul 2022
Intern in Dubai’s off-plan real estate market. Hands-on exposure to deal flow, client acquisition, and sales ops — plus how brands differentiate through customer experience, Meta ads, and SEO.
personal account. not financial advice.
I trade across a wide range of markets, but the thesis rarely changes shape: macroeconomic data and fundamentals come first. Rate decisions, inflation and growth prints, policy shifts and risk sentiment build the directional view. Technicals only decide timing and where the risk sits.
I don't marry one instrument — I follow wherever the macro story is clearest: currencies, indices, commodities and beyond. The framework stays constant; only the fundamentals change from market to market.
Reading macro across that many markets is noisy and slow. I built FXSentinel to fix my own workflow — it aggregates and filters the news and data that actually move price, so my time goes into the thesis, not ten open tabs. 525+ other traders now use it for the same reason.
Fixed risk per trade, defined before entry. No averaging into losers. Stops are non-negotiable. Size comes from account percentage, never conviction.
The hard part isn't the analysis — it's staying flat when there's no setup, and not revenge-trading after a loss. Every trade gets journaled. Still learning.
available commands: whoami — who is kavi projects — open positions (UltraSafe, FXSentinel, Get Up) trading — global macro approach contact — reach me resume — download CV help — this message clear — reset viewport
Kavi Choudhary is a Direct Admit at Indiana University’s Kelley School of Business (B.S. Business, Management; GPA 4.00) and the founder of FXSentinel, an AI-powered forex analysis platform used by 525+ retail traders. He builds fintech and AI products, trades global macro across multiple markets, and recently interned at UltraSafe AI on GTM strategy and content automation.
FXSentinel is an AI-powered forex analysis platform founded by Kavi Choudhary. It aggregates and filters financial news to deliver real-time macro context for retail traders. It has 525+ users and is available at fxsentinel.io.
Kavi Choudhary trades global macro across a wide range of markets — currencies, indices, and commodities — using macroeconomic data and fundamentals as the thesis for most trades. He built FXSentinel to support this process and focuses on risk management and trading psychology.
Kavi has built FXSentinel (AI forex platform, 525+ users), Get Up (iOS goal-tracking app, 200+ downloads), and MoneyMadeWise (financial literacy platform, 1,000+ readers). He also interned at UltraSafe AI on GTM strategy and AI content automation.