Nagalikhitha Reddipalli

Experience

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  Philips

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  TUHH Praxis program Student (Fishing for experience)

  - Performed Reliability testing for X-ray tubes- Analysis and visualization of worldwide CT scanner input data- Implemented machine learning clustering algorithms for data condensation- Performed temperature simulation with the condensed data to find optimal temperature for X-rays tubes in CT-scanner

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  Hamburg University of Technology

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  Research Project

  - Evaluated State-Of-The-Art models in Unsupervised learning using Brain MRI Images- Worked on Variational Autoencoders, Vector Quantized VAE, and Vector Quantized Generative Adversarial Networks- Studied the effect of hyperparameters

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  University of Pittsburgh

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  Student Intern
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  Asklepios

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  Research Assistant - Working Student

  - Developing a prototype for stroke detection in CT perfusion scans for emergency situations in hospitals- Performing image processing techniques with OpenCV- Generating perfusion maps from CT scans using Deep learning models using Pytorch

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  Defence Bio Engineering & Electro Medical Lab (Bangalore)

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  Internship Trainee

  - Implemented hardware of ECG and by using the software, checked the accessibility to different regions by varying range of wavelengths

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  Universitätsklinikum Hamburg Eppendorf

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  Master Thesis

  - Classification of Histopathology Biopsies of Prostate Cancer using Vision Transformers- Implementation of binary survival prediction- Implementing hierarchical vision transformers

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  Defence Research and Development Laboratory (DRDL) - DRDO

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  Internship Trainee
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  AI Guild

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  Member
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  Vitafluence.ai

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  Data Scientist