I am passionate about Scientific Machine Learning, particularly in applying deep learning to improve existing workflows. Currently, I am working on agentic LLMs in Scientific Machine Learning under the supervision of Prof. Nikhil Muralidhar at Stevens Institute of Technology.

I am actively seeking a Summer Internship for 2026. If you know of any opportunities, please feel free to reach out to me via email.

If you are looking for a passionate and skilled Machine Learning Researcher with expertise beyond technicalities, I would be glad to connect for collaboration, mentorship, or exciting project opportunities.

Publications

• SOMD 2025: Fine-tuning ModernBERT for In-and Out-of-Distribution NER and Relation Extraction of Software Mentions in Scientific Texts
  Proceedings of the Fifth Workshop on Scholarly Document Processing (SDP 2025), pp. 154–163, 2025
  Authors: Vaghawan Ojha, Projan Shakya, Kristina Ghimire, Kashish Bataju, Ashwini Mandal, Sadikshya Gyawali, Manish Dahal, Manish Awale, Shital Adhikari, Sanjay Rijal

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• Integrating Large Language Models for Monte Carlo Simulation of Chemical Reaction Networks
  arXiv preprint arXiv:2503.21178, 2025
  Authors: Sadikshya Gyawali, Ashwini Mandal, Manish Dahal, Manish Awale, Sanjay Rijal, Shital Adhikari, Vaghawan Ojha
  PDF on arXiv

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• Whisper Finetuning on Nepali Language
  arXiv preprint arXiv:2411.12587, 2024
  Authors: Sanjay Rijal, Shital Adhikari, Manish Dahal, Manish Awale, Vaghawan Ojha
  PDF on arXiv

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• Building Detection and Counting in Convoluted Areas Using Multiclass Datasets with Unmanned Aerial Vehicles (UAVs) Imagery
  Advances in Remote Sensing, Vol. 12, No. 3, pp. 71–87, 2023
  Authors: Shital Adhikari, Vaghawan Prasad Ojha

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