http://jayanthyetukuri.github.io
I am a fifth year Phd student in the CS department of UC, Santa Cruz. I am working with Prof. Yang Liu on user centric Actionable Recourse. My research interests are in societal aspects of Artificial Intelligence & Machine Learning, including but not limited to robustness, recoursability, fairness and is centered explicitly around improving trustworthiness of the models.
+1 (83 one) 40 zero - 673 six
[first name][dot][last name][at]{gmail[dot]com, ucsc[dot]edu}
Ph.D. in Computer Science | GPA: 3.92/4.0 | 2018 - 2023 (expected)
Relevant Coursework: Machine Learning, Artificial Intelligence, Convex Optimization, Applied Bayesian Statistics, Data Science, Analysis of randomized algorithms.
M.Tech in Computer Science | CGPA: 8.7/10 | 2012 - 2014
Relevant Coursework: Colour Image Processing, Document Analysis and Recognition, Advanced Algorithms and Data Structures
B.Tech in Computer Science | %: 75/100 | 2008 - 2012
Relevant Coursework: Probability and Statistics, Linear Algebra, Graph Theory, Data Mining
Applied Researcher | Search Science and Query Understanding | Jan 2024 - Present
Providing rich and accurate alternate reformulations for Null and Low user search queries using multidimensional optimization. This project is specifically aimed at improving user interaction to improve overall business metrics.
Applied Research Intern | Search Science and Query Understanding | Jun 2022 - Aug 2022
Multifaceted reformulation for Null and Low user search queries. Built a transformer based model to provide multiple and diverse reformulations by solving a diversity inducing optimization problem
Applied Research Intern | Search Science and Query Understanding | Jun 2021 - Aug 2021
Box Lattice embedding for representing user search query and categories using a novel loss function for dominant category prediction leveraging query-category hypercube intersection.
Research Intern | Corporate Research/ Research Technology Centre-India | Jul 2019 - Sep 2019
Worked on deep learning (supervised) based methods for time series classification. Developed a novel feature extraction technique to replace state of the art distance metric and analysed the results on the UCR datasets.
Data Engineer | Oracle Retail Advanced Science Engine, Oracle Retail Insights and Science Suite | Jun 2014 - Sep 2018
Developed a framework for data generation and end-to-end automation testing of Retail Insights, with the responsibility of leading a team of five. Also, built a model for demand forecasting of essential goods in a crisis zone.
Jayanth Yetukuri, Yuyan Wang, Ishita Khan, Liyang Hao, Zhe Wu, Yang Liu
Jayanth Yetukuri, Ian Hardy, Yevgeniy Vorobeychik, Berk Ustun, Yang Liu
Jayanth Yetukuri, Yang Liu [here]
Jayanth Yetukuri, Ian Hady, Yang Liu [here]
Ian Hady, Jayanth Yetukuri, Yang Liu [here]
Jayanth Yetukuri, Yang Liu [here]
FH Khan, A de Silva, Jayanth Yetukuri, N Norouzi [here]
2023: Awarded Travel grant by Sixth AAAI/ACM Conference on AI, Ethics, and Society
2019: Received Regents Fellowship from University of California, Santa Cruz
2018: Awarded Employee of the year at Oracle
2016: Second place in Design Jam in Oracle: Built a prototype for faster delivery of goods in a crisis zone
2012: Received post graduate Scholarship in India for pursuing Masters in computer science
2012: Secured 99 percentile in GATE (Graduate Aptitude Test in Engineering) at national level in India
2008: Received Prime Ministers scholarship in India for pursuing Bachelors in computer science\