curriculum vitae

General Information

Full Name Neetu Kushwaha
Contact neetumits [at] gmail [dot] com
Languages English (fluent), Hindi(fluent)

Research Areas

  • My research delves into machine learning, deep learning, clustering, Computer vision, and natural language processing, with a specific emphasis on their real-world applications. Proficiently contributing to AI advancements through innovative research practices.

Education

  • 2015 - 2019
    Indian Institute of Technology Roorkee, India – Ph.D. in Machine Learning
    • Co-advised by Prof. Millie Pant
    • Thesis: Enhanced Metaheuristics Based Clustering Algorithms and Their Applications.
  • 2010 - 2012
    M.Tech in Computer Science - Indian Institute of Technology, Patna, India
    • Thesis: Thesis: Software Cost Estimation using Soft Computing Method
  • 2005 - 2009
    B.Tech in Computer Science - - MITS, Gwalior, India.

Work Experience

  • 2024 - now
    Research Associate at University of Oxford, Oxford, UK
    • Developed a RAG system using LangChain to extract and structure data center information from open-source PDFs. Utilized pdfplumber-llm for text extraction, implemented chunking strategies, and integrated LLaMA 3.3 for accurate question answering.
  • 2022 - 2024
    Research Associate at The Alan Turing Institute, London, UK
    • Mapping and characterizing the world’s most polluting assets using NLP and other AI technologies Extracting information and knowledge by looking into newspapers, reports, and satellite images Developing novel AI algorithms for developing asset-level databases
  • 2020 - 2021
    Postdoctoral Researcher at Inria, Rennes, France
    • Research on Pattern Mining for Neural Networks Debugging.

Teaching Experience

  • 2012-2014
    Assistant professor in Computer Science & Engineering Galgotias University, India

Projects

  • ○ Brick Kiln Detection Using Deep Learning.
  • ○ RAG for Data Center Information Extraction.
  • ○ Decarbonizing Agriculture - Barclay Project.
  • ○ GeoAsset Project.
  • ○ Precision Refinement in CNNs: Faulty Neuron Identification.

Computer skills

  • ○ Programming languages: C++, Python, Matlab.
  • ○ Data Structures and Algorithms
  • ○ Frameworks: Pytorch, Tensorflow, NumPy, SciPy, Pandas.
  • ○ Scientific: Matlab, Latex, Git.
  • ○ Database Systems: MySQL, NOSQL.

Other Interests

  • Sports: Table-tennis
  • Hobbies: traveling and movies