Chetan Bansal

Microsoft (United States) — United States

Computer Science · Physical Sciences

18h-index946citations113works3.72yr avg
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Research Topics

Software System Performance and Reliability(30), Software Engineering Research(22), Cloud Computing and Resource Management(21), Topic Modeling(11), Anomaly Detection Techniques and Applications(11)

Publications113 total

SAGESERVE: Optimizing LLM Serving on Cloud Data Centers with Forecast Aware Auto-Scaling
Proceedings of the ACM on Measurement and Analysis of Computing Systems·2025Open Access
Serving Heterogeneous LoRA Adapters in Distributed LLM Inference Systems
arXiv (Cornell University)·2025Open Access
Continuous Benchmark Generation for Evaluating Enterprise-scale LLM Agents
arXiv (Cornell University)·2025Open Access
Adapting Web Agents with Synthetic Supervision
arXiv (Cornell University)·2025Open Access
Triage in Software Engineering: A Systematic Review of Research and Practice
arXiv (Cornell University)·2025Open Access
Can Language Models Go Beyond Coding? Assessing the Capability of Language Models to Build Real-World Systems
arXiv (Cornell University)·2025Open Access
Attention Enhanced Entity Recommendation for Intelligent Monitoring in Cloud Systems
arXiv (Cornell University)·2025Open Access
An Empirical Study of Production Incidents in Generative AI Cloud Services
2025· 1 cited
Intent-based System Design and Operation
2025Open Access
Enabling Sustainable Cloud Computing With Low-Carbon Server Design
IEEE Micro·2025· 1 cited
Towards Workload-aware Cloud Efficiency: A Large-scale Empirical Study of Cloud Workload Characteristics
2025· 4 citedOpen Access
Automated Service Design with Cerulean (Project Showcase)
2025· 1 cited
Time Warp: The Gap Between Developers' Ideal vs Actual Workweeks in an AI-Driven Era
2025· 1 cited
Anyprefer: An Agentic Framework for Preference Data Synthesis
arXiv (Cornell University)·2025Open Access
Synergistic Weak-Strong Collaboration by Aligning Preferences
arXiv (Cornell University)·2025Open Access
eARCO: Efficient Automated Root Cause Analysis with Prompt Optimization
arXiv (Cornell University)·2025Open Access
Performance Aware LLM Load Balancer for Mixed Workloads
2025· 3 citedOpen Access
AMPO: Active Multi-Preference Optimization for Self-play Preference Selection
arXiv (Cornell University)·2025Open Access
SageServe: Optimizing LLM Serving on Cloud Data Centers with Forecast Aware Auto-Scaling
ArXiv.org·2025· 2 citedOpen Access
Intent-based System Design and Operation
arXiv (Cornell University)·2025Open Access
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Frequent Co-authors

Nachiappan Nagappan(9), Saravan Rajmohan(8), Minghua Ma(8), Chandra Maddila(7), Íñigo Goiri(7), Supriyo Ghosh(6), Anjaly Parayil(6), Nikitha Rao(6), Qingwei Lin(6), Xuchao Zhang(5), Manish Shetty(5), Dongmei Zhang(5), Saravan Rajmohan(5), Thomas Zimmermann(4), Pedro Las-Casas(4), Suman Nath(4), Yu Kang(4), Eli Cortez(4), Karthikeyan Bhargavan(3), Sergio Maffeis(3)