Harsh Maheshwari is a quantitative researcher and data scientist with 8 years of experience building ML and deep learning pipelines for trading, supply chains, and large-scale e-commerce systems. An IIT Bombay graduate, he blends rigorous mathematical modeling and time-series expertise with hands-on engineering to deploy cloud-native, production-grade solutions processing multi-terabyte and high-frequency market data. He has designed mid-to-high-frequency options strategies and real-time regime-classification systems that delivered institutional-grade performance (Sharpe ~4) and supported portfolios exceeding ₹100 crore. Beyond trading, he scaled demand-forecasting and automated merchant analytics platforms using Ray, Kubeflow and Apache Beam to cut inventory costs and accelerate listings at enterprise scale. Known for mentoring cross-functional teams and shipping end-to-end backtesting and execution frameworks, he pairs research curiosity with pragmatic automation. A detail that often surprises peers: he transitioned from a Chemical Engineering background to lead state-of-the-art temporal attention and graph-based research applied to live financial systems.
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