2 citations · 5 across the 9 of their papers we have counts for
6 papers · 1 filter
RAG4Tickets: AI-Powered Ticket Resolution via Retrieval-Augmented Generation on JIRA and GitHub Data
Mohammad Baqar
Modern software teams frequently encounter delays in resolving recurring or related issues due to fragmented knowledge scattered across JIRA tickets, developer discussions, and Git…
Breaking Barriers in Software Testing: The Power of AI-Driven Automation
Saba Naqvi, Mohammad Baqar
Software testing remains critical for ensuring reliability, yet traditional approaches are slow, costly, and prone to gaps in coverage. This paper presents an AI-driven framework t…
AI-Augmented CI/CD Pipelines: From Code Commit to Production with Autonomous Decisions
Mohammad Baqar, Saba Naqvi, Rajat Khanda
Modern software delivery has accelerated from quarterly releases to multiple deployments per day. While CI/CD tooling has matured, human decision points interpreting flaky tests, c…
Extending Group Relative Policy Optimization to Continuous Control: A Theoretical Framework for Robotic Reinforcement Learning
Rajat Khanda, Mohammad Baqar, Sambuddha Chakrabarti +1
Group Relative Policy Optimization (GRPO) has shown promise in discrete action spaces by eliminating value function dependencies through group-based advantage estimation. However,…
Self-Healing Software Systems: Lessons from Nature, Powered by AI
Mohammad Baqar, Rajat Khanda, Saba Naqvi
As modern software systems grow in complexity and scale, their ability to autonomously detect, diagnose, and recover from failures becomes increasingly vital. Drawing inspiration f…
Hallucinations and Truth: A Comprehensive Accuracy Evaluation of RAG, LoRA and DoRA
Mohammad Baqar, Rajat Khanda
Recent advancements in Generative AI have significantly improved the efficiency and adaptability of natural language processing (NLP) systems, particularly through Retrieval-Augmen…