Drishti Goel

Research Fellow @Microsoft M365 Research

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I am a Predoctoral Research Fellow at Microsoft's M365 Research team, advised by Supriyo Ghosh and Chetan Bansal. Here, my work focuses on advancing cloud system reliability by driving innovations using large language models (LLMs) and smaller language models (SLMs), to enhance operational efficiency and root cause analysis of complex incidents. My current research work in these areas has culminated in publications at top-tier venues and has also been adopted by over 150 teams, and projected to scale over 500 teams at Microsoft.

Previously, I completed my bachelors in Electrical and Computer Science from the Dayalbagh Educational Institute, where I was fortuante to have worked with and mentored by Prof. C. Patvardhan, Swathi Swaminathan from the Grahn Lab, Lt. Prof. Hansraj K. and Dr. V. Prem Prakash

My current research interests are as follows:

  • Large Language Models (LLMs) and Domain-Specific AI Adaptations
  • Health-AI and Responsible AI in Real-World Applications
  • AI for Software Engineering and Developer Productivity
  • Human-centered Artificial Intelligence

I am particularly excited about the transformative era of artificial intelligence which we are witnessing, and want to make these technologies human-centered, and extend these to real-world applications in the industry, academia and society.


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Research Fellow Research Intern, UWO Canada, Grahn Lab Data Science Intern Electrical Engineering with a specialization in Computer Science
2023 - Present June - August, 2022 January - May, 2022 2019 - 2023

Latest News

26th Jan, 2025 Book Release: Defy Your Gravity - Rise Above Challenges and Embrace Your True Potential Buy Now!
Nov, 2024 Recorded over 25 songs over the past year as part of the "Global Children's Diversity Drive Initiative" based in Agra.
Aug, 2024 Presented my independent research work with Vaibhav Ganatra at the Machine learning for Healthcare(MLHC) conference, University of Toronto, Canada
Jan, 2024 Graduated & Awarded the Institute's Founder's Medal for exhibiting academic, social service and leardship skills and all-rounder excellence (Awarded to 1 among all graduate students). Featured [here]
Sept, 2023 Microsoft FHL Grand Winner: MediTrain AI - Empowering the doctors of tomorrow, today. View our project [here]

Selected Publications

EuroSys'25
eARCO: Efficient Automated Root Cause Analysis with Prompt Optimization

Drishti Goel, Raghav Magazine, Supriyo Ghosh, Akshay Nambi, Prathamesh Deshpande,Xuchao Zhang, Chetan Bansal, Saravan Rajmohan

Under Submission at 20th ACM European Conference on Computer Systems (EuroSys Fall 2025)

ICSE SEIP'25

Time Warp: The Gap Between Developers’ Ideal vs Actual Workweeks in an AI Driven Era

Sukrit Kumar*, Drishti Goel*, Thomas Zimmermann, Brian Houck, B. Ashok, Chetan Bansal

Under Submission at the 47th International Conference on Software Engineering, Software Engineering in Practice track (ICSE SEIP 2025) Read

MLHC'24

PRECISe : Prototype-Reservation for Explainable Classification under Imbalanced and Scarce-Data Settings

Vaibhav Ganatra, Drishti Goel

Machine Learning for Healthcare (MLHC'24) Read

FSE'24

X-Lifecycle Learning for Cloud Incident Management using LLMs

Drishti Goel, Fiza Husain, Aditya Singh, Supriyo Ghosh, Anjaly Parayil, Chetan Bansal, Xuchao Zhang, Saravan Rajmohan

Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024 Read