Research shelf · papers and proof

Papers, contribution evidence, and research method.

Research lives beside implementation because the useful question is always: what was built, measured, and explained?

Paper 2026

AI Companion: Theoretical Frameworks

Emotionally aware LLM systems, architecture requirements, and empathetic digital-companion design.Open PDF

Paper 2025

Breast Cancer Detection Analysis

Scratch logistic regression study using NumPy, convergence checks, and diagnostic performance analysis.Open PDF

Open Source 2026

GSSoC'26 Contribution Evidence

Selected contributor with merged preprocessing work in Disease-prediction and ML pipeline work for AegisAI Guard Safety Prediction.GitHub Profile
01

Scope

Define the objective, assumptions, and limitations before model design starts.

02

Implementation

Build core logic with transparent steps to keep behavior interpretable.

03

Validation

Evaluate with metrics, convergence checks, and reproducibility-focused tests.

04

Publication

Convert insights into papers, repositories, and technical writeups.