About Me
Hey there! I'm Rutva Pandya, an incoming Master's student at Johns Hopkins University, broadly interested in Natural Language Processing and Machine Learning. I'm currently exploring areas like large language model reasoning (including multimodal reasoning), information retrieval, and related topics. I'm excited to keep learning and growing in these spaces.
I'm always excited to connect and collaborate — feel free to reach out at rpandya4[at]jh[dot]edu!
Recent Updates
Excited to start my Masters at Johns Hopkins University!
Graduated from University of Illinois Urbana-Champaign with a Bachelor's degree in Computer Engineering.
Research Interests
I'm particularly interested in:
- Natural Language Processing: Cross-lingual text analysis, sentiment analysis, and text classification
- Machine Learning: Deep learning architectures, transfer learning, and model optimization
- AI Applications: Developing practical NLP tools for real-world problems
Recent Publications
* Denotes First Author Work
Toward Engineering AGI: Benchmarking the Engineering Design Capabilities of LLMs
Xingang Guo, Yaxin Li, XiangYi Kong, Rutva Pandya + 62 more authors • Under Review • 2025
A novel benchmark for engineering design that evaluates large language models using simulation-based testing across multiple domains to assess practical design and reasoning under constraints.
Education
Master of Science in Computer Science
Johns Hopkins University • 2025 - 2027
- Focus: Natural Language Processing, Machine Learning
Bachelor of Science in Computer Engineering
University of Illinois Urbana-Champaign • 2021 - 2025
- Minor in Statistics
Experience
Undergraduate Research Assistant
AIFarms, University of Illinois Urbana-Champaign • May 2022 - Present
Developed LLM hallucination detection pipeline and real-time agricultural data tools for precision farming recommendations.
Undergraduate Research Mentor
Center for Digital Agriculture, University of Illinois Urbana-Champaign • May 2024 - August 2024
Led development of MyFarm web interface and mentored undergraduates in precision agriculture tool development.
Software Engineering Intern (Generative AI)
Virtusa • May 2023 - August 2023
Built safety and reasoning evaluation systems for large language models with 90% accuracy in toxicity detection.
Technical Skills
Programming Languages
Python, Java, JavaScript, C/C++, R
ML/AI Frameworks
PyTorch, Flask, Hugging Face, IBM Watson
Web Technologies
React, Node.js, HTML/CSS, SwiftUI
Tools
Git, Docker, VS Code, Google Cloud Platform