Rajnish P.

Quantitative Developer | Algorithmic Trading | Agentic AI

I’m a Quantitative Developer and active trader with over 6 years of experience building and trading production-grade algorithmic systems across stocks, options, futures, forex and crypto. I build everything from backtesting and strategy research infrastructure to live execution engines, market-data pipelines, risk systems and pricing models for complex financial instruments. I regularly develop, backtest, optimize, forward test and live trade strategies across multiple asset classes, including arbitrage, hedging, prediction model-based strategies, trend and momentum systems and multi-legged options strategies. I also work extensively with AI and agentic systems, building AI-powered trading workflows, natural-language strategy generation and agent-based development, code review, debugging, testing and validation pipelines. My experience spans traditional brokers including Interactive Brokers, Zerodha, Charles Schwab and Alpaca, centralized crypto exchanges such as Binance, Coinbase and Bybit, decentralized trading platforms such as Hyperliquid, prediction markets including Polymarket and Kalshi, OTC and CFD markets and other trading platforms including MetaTrader and TradingView.