Bellevue, Washington, United States
Experienced Software Development Engineer with a strong background in AI and machine learning, specializing in large language models and NLP technologies. Proficient in Python, PyTorch, and modern NLP tools (NLTK, SpaCy, BERT, RoBERTa). Demonstrated success in applying AI to real-world applications, with a focus on developing and deploying neural networks in cloud environments (AWS). Committed to ethical AI development, with extensive research into the robustness and generalization of AI models. Actively seeks to integrate cutting-edge AI technologies into scalable, secure solutions.
- We Need to Talk About Robustness to Adversarial Attacks While Removing Spurious Dataset Biases - Accepted as thesis @ASU - Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness - Accepted in ACL 2022
- Delivered laboratory lectures for Principles of programming language (CSE 100). - Creating online exams - Office hours and review sessions.
- NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks: Accepted in ACL 2022 - Dqi: A guide to benchmark evaluation - Do we need to create big datasets to learn a task? - Accepted in Proceedings of SustaiNLP - Data Corruption in Natural Language Processing and robustness of models to such corruption.
Teaching Assistant - Delivered laboratory lectures for Principles of programming language (CSE 100) to 241 students. - Held office hours, conducted review sessions and proctored exams.