Scholar
Saransh Agrawal
Google Scholar ID: Vel09fIAAAAJ
Texas A&M University
Citations & Impact
Citations
0
H-index
0
i10-index
0
Publications
2
Co-authors
1
list available
Publications
Resume (English only)
Academic Achievements
- Publications: Novel approach to multi-preference alignment (submitted to COLM 2025)
- Awards: 2nd place at SemEval-2025
- Projects: Developed efficient RLHF techniques, created a novel approach to multi-preference alignment, engineered an algorithm for unlearning sensitive content
Research Experience
- Work Experience: Software Developer, ML Team, Viewzen Labs Pvt. Ltd., July 2021 - July 2023; Machine Learning Engineer Intern, Centre for Digital Financial Inclusion, Feb 2021 - June 2021
- Projects: Developed distributed AutoML platform, optimized C++ code to improve processing speed, led predictive modeling project, etc.
Education
- Degree: Master of Science in Data Science
- School: Texas A&M University
- Time: Aug 2023 - May 2025
- Advisor: Research Assistant, FLAIR Lab
- GPA: 3.7/4.0
- Other Education: Bachelor of Technology in Control Systems Engineering, Manipal Institute of Technology, July 2017 - Aug 2021
Background
- Driven by the challenges at the intersection of NLP, Large Language Models, and Responsible AI, earned Master's in Data Science from Texas A&M. Research focused on practical advancements in LLMs.
Miscellany
- Personal Interests: Mountaineering expeditions
