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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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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

Deep learning has entered algorithmic trading largely as data-driven pattern fitting, which markets punish when regimes change. Physics-informed neural networks offer a different discipline: they embed governing equations directly in the training loss, so the model respects the dynamics even where data are scarce. This...

S. Satyanarayana · 0 citations
2026

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

Enterprises have no shortage of agentic AI demonstrations; what they lack is a repeatable way to turn a demonstration into a system a business can depend on. Forward Deployed Engineering closes that gap by embedding an engineer with the customer to own the path from prototype to hardened, monitored production. This pap...

S. Satyanarayana · 0 citations

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