Akhil Agnihotri
Scholar

Akhil Agnihotri

Google Scholar ID: Kf1o27gAAAAJ
PhD student, University of Southern California
Reinforcement learningOptimizationPreference learning
Citations & Impact
All-time
Citations
147
 
H-index
3
 
i10-index
3
 
Publications
10
 
Co-authors
8
list available
Resume (English only)
Research Experience
  • May 2025: Research Scientist Intern at Netflix
  • May 2025: Machine Learning Scientist Intern at Qualcomm
  • March 2025: AI Resident at Google
  • October 2020 - May 2025: Quantitative Researcher at JPMorgan Chase & Co.
  • Summer 2018: Summer Intern at Indira Gandhi Centre for Atomic Research, working on closed-loop control algorithms for nuclear reactor safe robots
  • Undergraduate: Worked with Prof. Ding Zhao at Carnegie Mellon University on indoor SLAM and LiDAR sensor optimization
Background
  • Currently a PhD student at the Department of Electrical and Computer Engineering, University of Southern California. Research interests include indoor SLAM, LiDAR sensor optimization, and market-aware revenue outlier detection.
Miscellany
  • Personal interests and hobbies not detailed