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S. Satyanarayana

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Open access 2026

Physics-Informed Neural Networks for Portfolio Optimisation and Algorithmic Trading: A Reproducible Pipeline with an Indian-Market Backtest

The lesson is deliberately sober: the physics supplies the correct allocation rule, a constant policy on a stable long-run premium is competitive with a sensible fixed mix and far gentler on drawdown than buy-and-hold, and the value that remains is almost entirely in estimating the inputs.

S. Satyanarayana · 0 citations
Open access 2026

A Complete Forward Deployed Engineering Pipeline for Modern Enterprise Agentic AI Challenges

This paper presents the complete Forward Deployed Engineering (FDE) pipeline, a staged pipeline closed by a continuous improvement loop, and a reference architecture for a hardened agentic system in which every action passes verification and human oversight and observability cross-cut the whole.

S. Satyanarayana · 0 citations

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