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Education
- 2022-Present
PhD in Computer Science
University of Illinois at Chicago
- GPA: 4.0/4.0
- 2020-2022
MSE in Computer Science
Johns Hopkins University
- GPA: 3.5/4.0
- 2017-2020
BS in Computer Science
University of Massachusetts Amherst
- GPA: 3.7/4.0
- Honors College Scholar with Great Distinction
Experience
- 2021
Applied Scientist Intern
Amazon
- Worked with Dr. Anoop Kumar on unsupervised paraphrase-based data augmentation
- Leveraged Abstract Meaning Representations (AMRs) to generate syntactically diverse paraphrases
- Achieved SOTA performance on unsupervised paraphrase generation task on multiple datasets
- 2020-2021
Research Assistant
Johns Hopkins University
- Worked with Professor Benjamin van Durme on semantically grounded image classification
- Improved ResNet architecture for few-shot learning with geometric hierarchical embeddings
- Extended neural entity typing pipeline to new datasets in a distributed training setting
- 2018-2020
Undergraduate Research Assistant
University of Massachusetts Amherst
- Worked with Professor Andrew McCallum on fine-grained entity typing using PyTorch
- Developed a stacked BiLSTM with embedding-based loss functions and hierarchical type constraints
- Record-linked datasets including Amazon-GoogleProducts using a compound LSTM + CNN model
- 2018-2020
Undergraduate Course Assistant
University of Massachusetts Amherst
- Graded theory-intensive problem sets and exams in Artificial Intelligence and Algorithms
- Helped students in Computer Systems complete programming assignments written in C and assembly
- 2019
Visiting Undergraduate Researcher
University of Southern California
- Worked with Professor Xiang Ren on reinforcement learning-based knowledge graph (KG) reasoning
- Formulated contextual text-structure embedding to augment inference paths with with non-KG entities
- Trained a PCNN with attention to perform distantly supervised relation extraction on inference paths
- 2018
Undergraduate Research Intern
Information Sciences Institute
- Worked with Professor Craig Knoblock to build and link entities in a KG of space-related objects
- Implemented level-based access control for data across multiple Elasticsearch indices
- Extracted information on 1000s of satellites and incorporated data into Elastic workflow
Skills
Programming Languages | Python, Java, C++, C, JavaScript |
Libraries & Frameworks | PyTorch, SciPy, Sci-kit Learn, NumPy, Latex |