let prince = Developer {
name: "Parmbeer Singh (Prince Rajput)",
age: 19,
location: "Bangalore, India 🇮🇳",
education: "B.E. Artificial Intelligence & ML — CMRIT '28",
currently_building: [
"pg-app → PG accommodation marketplace (Gharam) — deploying soon (Next.js 14 + Supabase)",
"xauusd-fetcher → Ultra-low-latency market data fetcher (Rust + Turbo Mode) — maintenance",
"ozen → Near-invisible OS AI layer (Electron + React + Ollama)",
"geo-intel → Geopolitical intelligence dashboard + signal overlays",
],
deeply_into: [
"Quantitative Finance & Algorithmic Trading",
"Full-stack product engineering — shipping real products for real users",
"Personal Finance & Investment Strategy",
],
ask_me_about: ["Vibe coding", "Video editing"],
fun_fact: "I write market data pipelines faster than most people read them.",
total_tracked: "19 hrs 49 mins since Mar 7 2026",
daily_average: "1 hr 8 mins",
top_language: "TypeScript 25.88% — 1 hr 54 mins",
};
🏠 pg-app_Verified listings · Zero broker fees · Direct booking · Production-Ready Security_
🔥 Shipping
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> A production-grade, sub-millisecond market data feed for **Gold (XAU/USD)** and other instruments, built in **Rust** using async WebSocket streaming.
🔧 Maintenance
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A **high-performance, cinematic video editing portfolio** built with modern web technologies and an agentic workflow. Designed to showcase **short-form vertical (Instagram Reels–style) edits**, smooth micro-interactions,…
✅ Live
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IncidentEnv is an OpenEnv-compatible RL environment for microservice incident response. It includes a Rust simulation core, Python environment wrappers, reward/graders, a FastAPI runtime, Torch/PPO training, a React dash…
🔧 Maintenance
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A clean, editorial video-editing portfolio built with React, TypeScript, and Vite.
🟡 Building
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An AI-powered web application built with Python and Streamlit that analyzes stock market data to provide predictive insights. This tool was developed to augment trading decisions by combining technical analysis, news sen…
✅ Live
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💹 Finance & Markets
├── Quantitative Finance — time-series, factor models, derivatives pricing
├── Algorithmic Trading — execution algos, backtesting, strategy design
├── Market Microstructure — order book dynamics, tick data, HFT mechanics
└── Personal Investment — portfolio theory, equity research, risk management
⚙️ Engineering
├── Lock-free data structures & Rust async runtimes
├── Reinforcement learning for trading agents
└── Transformer models for financial time-series forecasting
