Optimizing the Analytical Lifecycle

The modern analytical environments are getting more fragmented today, which results in a necessity of smooth transition between SQL, Python and C . The above techniques also known as Large Language Models LLMs allow natural language NL interface for the systems however they have tendency to fill the gap with hallucinations and unreliable generation of code. The paper introduces the Language Independent Framework LIF , which is capable of converting a natural language intent to typed, validated intermediate representation IR which does not execute like executable code. The LIF framework combines deterministic compilation and strong guardrails for high semantic precision across heterogeneous backends integration with machine learning models presented in standardized formats like ONNX. Lakshay Malhotra "Optimizing the Analytical Lifecycle" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-10 | Issue-1 , February 2026, URL: https://www.ijtsrd.com/papers/ijtsrd100095.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/100095/optimizing-the-analytical-lifecycle/lakshay-malhotra