2 papers
cs.AI2026
AegisFlow: A Multi-Agent Agentic AI Framework for Autonomous Remediation and Self-Healing in Fragile Data Ecosystems
Muhammad Bilal Awan, Zubair Hussain, Abdul Shahid
Traditional data pipelines are notoriously brittle, often failing due to upstream schema drift, API contract changes, or website DOM modifications. Present observability tools only…
cs.LG2025
Benchmarking Generative AI Against Bayesian Optimization for Constrained Multi-Objective Inverse Design
Muhammad Bilal Awan, Abdul Razzaq, Abdul Shahid
This paper investigates the performance of Large Language Models (LLMs) as generative optimizers for solving constrained multi-objective regression tasks, specifically within the c…