Hi! I'm Shreeya Khurana.

Shreeya Khurana

I'm a Software Engineer at Stripe with an M.S. in Machine Learning and a B.S. in Artificial Intelligence, both from Carnegie Mellon University. My primary goal is to apply my skills to developing solutions to real-world problems, with a focus in machine learning, artificial intelligence, and software engineering. In my free time, I enjoy figure skating, reading, and learning dance choreographies.

Resume

Education

Carnegie Mellon University

M.S. Machine Learning Dec 2023 – Dec 2024

Teaching Assistant - 10-423/623: Generative AI (Aug 2024 – Dec 2024)

Carnegie Mellon University

B.S. Artificial Intelligence Aug 2020 – Dec 2023

Teaching Assistant - 10-315: Introduction to Machine Learning (Jan 2023 – May 2024)

Teaching Assistant - 07-180: Concepts in Artificial Intelligence (Jan 2022 – May 2022)

Experience

Stripe

Software Engineer I, II
Jan 2025 – Present
  • Built an agentic assistant for merchants using Stripe able to help with tasks from customer support to object creation and business analytics. My work directly resulted in ~$1M/year savings in support costs.
  • Implemented various improvements to RAG system including re-ranking algorithm and text embedding model resulting in ~2x improvement in metrics like MRR.
  • Developed an automated conversation quality evaluation pipeline to create a durable system for regression detection and launch confidence.
  • Developed an MVP for agent intelligence platform that ingests agentic conversations across Stripe and determines insights and improvements and also implements the suggested improvements.

Stripe

Software Engineering Intern
May 2024 – Aug 2024
  • Interned on the ML Exploration team under the ML Infrastructure Organization.
  • Built an interactive debugger on ML workflow orchestration platform, saving MLEs 20 min per iteration cycle.
  • Performed prompt engineering and benchmarked LLMs for query intent classification, and gauged performance-cost trade-offs.

CMU Robotics Institute – HARP Lab

Research Assistant
Aug 2023 – Jan 2025
  • Developing a model which learns a driver’s situational awareness through eye-gaze tracking.
  • Constructed a driving dataset with continuous per-object situational awareness labels, traffic agent states, and driver eye-gaze collected using a protocol in a VR driving simulator.
  • Developed a gaze-based ML image segmentation model of a driver’s per-object situational awareness in various traffic scenarios.
  • Paper accepted to and published in the proceedings of CoRL 2024.

Amazon Robotics

Software Development Engineering Intern
May 2023 – Aug 2023
  • Built a Python package for input validation and manipulation for simulation of a robotic fulfillment center.
  • Reduced simulation time significantly by catching errors in 48GBs of required data before a simulation job is launched.
  • Improved interpretability and user experience of simulation tooling and reporting.

Cruise

Software Engineering Intern
May 2022 – Aug 2022
  • Implemented NPC (non-player character) intent conditioning in trajectory prediction ML model.
  • Trained, deployed, and tested model on internal simulation dataset, achieving >5% increase in collision recall.

U.S. Naval Research Laboratory

Summer Research Intern
Jun 2019 – Aug 2021
  • (NREIP, 2021) Improved upon system for Video Object Tracking with Deep Reinforcement Learning.
  • (SEAP, 2019) Developed an algorithm for site-selection in autonomous swarms for use in humanitarian assistance and disaster-relief missions.
  • (SEAP, 2019) First author paper accepted for presentation and publication in the Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020).

NASA Goddard Space Flight Center

Student Research
Jul 2015 – Aug 2017
  • Worked on Geomagnetic Storms: A Study of Relationship between Geomagnetic Storms and the Interplanetary Magnetic Field, and Monitoring Geomagnetic Storms in the Ionosphere with GPS Errors.
  • Compared different models available for prediction of magnetopause location changes.
  • Invited speaker at the 8th Community Coordinated Modeling Center Workshop held in Annapolis, MD in 2016.
  • Poster presentation: Geospace Environment Modeling Summer Workshop, Portsmouth, Virginia (June 2017).
  • Invited speaker at the 9th Community Coordinated Modeling Center Workshop held at College Park, Maryland (April 2018).

Publications

Modeling Drivers' Situational Awareness from Eye Gaze for Driving Assistance. In 8th Annual Conference on Robot Learning (CoRL 2024)

S. Khurana and D. Sofge. (2020). Quorum Sensing Re-Evaluation Algorithm for N- Site Selection in Autonomous Swarms. In Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, 193-198. https://www.scitepress.org/Papers/2020/89578/89578.pdf

Collado-Vega, Y. M., Dredger, P., Lopez, R. E., Khurana, S., Rastaetter, L., Sibeck, D., & Anastopulos, M. (2023). Magnetopause standoff position changes and geosynchronous orbit crossings: Models and observations. Space Weather, 21, e2022SW003212. https://doi.org/10.1029/2022SW003212

Dredger, P. M., Lopez, R. E., Collado-Vega, Y. M., Khurana, S., & Rastaetter, L. M. (2023). Investigating potential causes for the prediction of spurious magnetopause crossings at geosynchronous orbit in MHD simulations. Space Weather, 21, e2022SW003266. https://doi.org/10.1029/2022SW003266

Positions Held In Organizations

Author image ScottyLabs: September 2020 - 2024 Director of Outreach (Former Chief of Staff)

ScottyLabs Website
Current member of Senior Advisory Board and former Director of Outreach and Chief of Staff of ScottyLabs at CMU. ScottyLabs is and student run organization devoted towards helping students learn about and explore interesting topics in technology and design and apply them to develop products and applications that have an impact. Lead a team to organize a number of events, specifically Tartanhacks, Portfolio Development Friday, Crash Course, and more.

Author image Women@SCS/SCS4ALL: September 2020 - 2024 Member

Helped organize various events such as upperclassmen panels and a course pre-registration event for students in the School of Computer Science. Also designed an taught a lecture style presentation on Swarm Robotics for TechNights, an event series which works towards educates young girls in middle and high school about Computer Science topics in an engaging way.

Author image MATHgirls: 2016 - 2020 Founder and President

Founded this program in high school to motivate and empower middle school girls, especially underprivileged girls, to pursue a career in STEM. During this time, I mentored three cohorts of girls (22 girls) for the high school magnet exam and the SATs. All the girls were accepted into the magnet and IB programs; three girls scored more than 700 on the math section of SAT. Additionally, I was invited to the Governor's P-20 Leadership Council meeting in 2018 to talk to leaders in education and workforce development about the MATHgirls program, and received a grant of $500/year from the Governor's Workforce Development Board.

Author image Code Girls: 2017 - 2020 Founder and AspireIT Program Leader

Founded this club to excite high school girls about coding and to inspire them to major in STEM fields. Prepared grant applications and submitted annual reports to National Center for Women & Information Technology and received a grant of $3000/year Taught and organized sessions, invited speakers, organized field-trips, and motivated over 30 girls to follow a career in tech

Author image Maryland Special Olympics Figure Skating Team: 2015 - 2020 Coach and Webmaster

Coached skaters of special-needs to prepare them for Special Olympics and other figure skating competitions. Designed a website to promote and better organize the team