Pradumn Mishra

About

I am an AI Engineer, who is passionate about Machine Learning, Generative AI, Deep Learning, and NLP. I have successfully implemented Generative AI pilots on a variety of use-cases for IBM clients. I have past experience in developing Full Stack AI applications and automating processes with Python. I have successfully trained & deployed end-to-end deep learning NLP models using PyTorch and TensorFlow. I am skilled in testing, troubleshooting, and implementing new features with commitment to continuous learning and collaborative problem-solving. Let's leverage technology for innovation and growth!
To keep myself abreast of the latest advancements in AI, I regularly read new research articles and explore emerging trends in the field. I feel motivated towards giving back the ML community with my research capabilities. I am currently on a learning path towards Generative AI. I am always open to suggestions and constructive criticism towards my work.

Employment

• IBM (India) AI Engineer
  2023 - Present
• Philips (India) Research And Development Intern
  2023 - 2023
• HighRadius Corporation Machine Learning Intern (NLP)
  2022 - 2022

Education

• Kalinga Institute of Industrial Technology Bachelor of Technology
  2019 - 2023

Projects & Funding

Projects & funding information is unavailable.

Publications (7)

• BT-GANformer: A generative ensemble transformer mechanism for brain tumor segmentation and classification
  Journal of Applied Research and Technology 2025 DOI: 10.22201/icat.24486736e.2025.23.4.2771
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• Multi-label multi-class text classification-enhanced attention in transformers with knowledge distillation
  Journal of Applied Research and Technology 2025 DOI: 10.22201/icat.24486736e.2025.23.1.2484
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• SEARCHD - Advanced Retrieval with Text Generation using Large Language Models and Cross Encoding Re-ranking
  2024 IEEE 20th International Conference on Automation Science and Engineering (CASE) 2024 DOI: 10.1109/case59546.2024.10711642
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• Multi-attention TransUNet—A Transformer Approach for Image Description Generation
  Evolution in Computational Intelligence 2023 DOI: 10.1007/978-981-99-6702-5_2
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• Design and development of software stack of an autonomous vehicle using robot operating system
  Robotics and Autonomous Systems 2022 DOI: 10.1016/j.robot.2022.104340
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• Footstep planning of humanoid robot in ROS environment using Generative Adversarial Networks (GANs) deep learning
  Robotics and Autonomous Systems 2022 DOI: 10.1016/j.robot.2022.104269
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• Prediction of COVID-19 using Machine Learning Models
  DOI: https://doi.org/10.1201/9781003438816-7
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