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General Information
Full Name | Srijan Bansal |
srijanb [at] cs [dot] cmu [dot] edu | |
Languages | English, Hindi |
Education
- 2021 - 2023
M.S. in Language Technologies (Research Track)
Carnegie Mellon University
- 2016 - 2020
B. Tech. in Electronics and Electrical Communication Engineering (Major) & Computer Science (Minor)
Indian Institute of Technology, Kharagpur
Interests & Skills
Academic Interests | Large Language Models (LLMs), Model Compression, Parameter Efficient Learning, Question Answering, Information Retrieval, Conversational AI, Multimodal ML, Multilingual NLP, Code-Switching |
Skills | Research, NLP, Prompt Engineering, Deep Learning, Machine Learning, Transformers, Neural Networks, Hugging Face, PyTorch, Python |
Experience
- May - Aug 2023
Applied Scientist Intern
Amazon AWS (Lex Team)
- Adaptation-aware Large Language Model (LLM) compression using low-rank attention-head factorization
- May - Aug 2022
Research Intern
Salesforce Research
- Thorough examination of soft prompt tuning towards unified question answering under a low-resource setting
- Aug 2021 - Aug 2023
Graduate Research Assistant
Carnegie Mellon University
- Knowledge-grounded conversational question answering in open-domain setting; parameter-efficient training methods
- Apr 2020 - July 2021
Data Scientist
Hitachi Vantara
- Designed platform to assist DevOps teams to optimize and localize the root cause of issues in containerized applications
- May - July 2019
Research Intern
EPFL (Machine Learning and Optimization Lab)
- Designed momentum-based learning rate scheduler for black-box (zero-order) stochastic convex optimization
- Dec 2018 - Jan 2019
Research Intern
Hitachi Ltd., R&D Team (Centre for Technology Innovation)
- Explored the applicability of multi-layered capsule neural networks for object recognition and semantic disentanglement
- Jun - July 2018
Research Intern
IIIT-Allahabad
- Flexible framework to implement stacked bi-directional LSTM models for image captioning with ResNet architecture
Teaching
- Spring 2023
Teaching Assistant
11797 Question Answering (CMU)
- Designed & graded course assignments
- Mentored course projects for several teams
Academic Achievements
- First place in the Multidoc2dial shared task (unseen-setting) at the Dialdoc Workshop in ACL 2022.
- Research fellowship provided by CMU includes full tuition coverage and a stipend for the Master’s program. (2021-2023) ◦ Awarded for best student of B.Tech (ECE) having a mix of academic and research potential at the end of 4 years.
- Young Researchers’ Symposium Special Mention Award for short paper at CoDS-COMAD 2019 Conference
- Scholarship recipient for Kishore Vaigyanik Protsahan Yojana-2016 and National Talent Search Exam-2014