Shreya Singh

About

Shreya Singh is currently working as an Assistant Professor in the School of Computing at DIT University, Dehradun, India. Prior to this, she worked with Apple Inc., California, USA, as part of the Siri Performance and Reliability Team, where she developed large-scale big data pipelines and gained extensive experience in multiple programming languages and frameworks.

She holds a Master of Science in Computer Science from the University of Florida, USA, and a Bachelor of Technology in Electronics and Communication Engineering from the National Institute of Technology, Kurukshetra, India.

Her expertise spans Data Science, Big Data Engineering, and Applied Deep Learning. Her current research focuses on developing cutting-edge solutions in Big Data and Natural Language Processing (NLP). Specifically, she works on Large Language Models (LLMs) with multimodal applications—including text, images, and audio—with an emphasis on zero-shot learning, composite learning, and cross-attention architectures.

Recently, her work has expanded to include Memory Persistence across Sessions in Agentic LLMs, aiming to advance the design of long-context, self-adaptive AI systems capable of retaining reasoning continuity over multi-session interactions.

Courses Taught:
R Programming (Odd 2023)
Deep Learning (Even 2024)
Programming for Data Science (M.Tech) (Even 2024)
Deep Learning (Summer 2024)
R Programming (Odd 2024)
Design and Analysis of Algorithms (Even 2025)

Employment

• Dehradun Institute of Technology University Assistant Professor
  2023 - 2025
• Apple Full Stack Engineer
  2020 - 2023
• Royal Bank of Scotland Technical Analyst
  2017 - 2018

Education

• University of Western Australia MBA
  2025 - 2027
• University of Florida M.S
  2018 - 2020
• National Institute of Technology Kurukshetra B.Tech
  2013 - 2017

Projects & Funding

Projects & funding information is unavailable.

Publications (4)

• An Enhanced Large Language Model For Cross Modal Query Understanding System Using DL-KeyBERT Based CAZSSCL-MPGPT
  2025 DOI: 10.48550/ARXIV.2502.17000
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• Big Data Visualization Framework for Smart Traffic Intersections
  2020
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• A Novel Framework by Integrating LoRA and LIME for Efficient Fine-tuning of LLaMa 2 Model for Healthcare Multiple Choice Question Answering Tasks
  DOI: 10.20944/preprints202510.0829.v1
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• Efficient Retrieval Augmented Generation Based QA Chatbot Builder Using LLaMA 3.2B with LoRA
  DOI: 10.20944/preprints202509.1917.v1
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