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Santhosh Parampottupadam

Research Scientist

Santhosh Parampottupadam is a Research Scientist at the German Cancer Research Center (DKFZ) with expertise in Machine Learning, Artificial Intelligence, and Medical Image Computing.2 He holds a Stanford University certification in Machine Learning and has a Master's degree in Cloud Computing with First Class Honours.

Santhosh's areas of focus include:

  1. Natural Language Processing (NLP)
  2. Deep Learning
  3. Trusted Federated Learning
  4. Privacy-preserving machine learning

His recent accomplishments include:

  • Awarded the prestigious Magna Cum Laude at RSNA 2024 for his research1
  • Speaker at the World Machine Learning Summit 2019 in Dublin
  • Finalist for Ireland AI Student of The Year Award and Ireland Data Scientist Student of The Year Award in 2018

Santhosh has a diverse professional background, having worked as a Data Scientist at First Data Corporation and softgarden e-recruiting GmbH, as well as a Cloud/Hadoop/Big Data Engineer at Tata Consultancy Services. His current research at DKFZ involves applications of AI in medical image computing and privacy-preserving machine learning techniques.14

As of December 2024, Santhosh is actively involved in research related to prompt-friendly codebase development and generative AI applications in healthcare.3

Highlights

Apr 8 · linkedin

❗ ❗❗ Attention ML/AI Enthusiasts! "Ready to dive into the world of Large Language Models (LLMs)? I've been exploring resources from top-notch instructors to guide my journey. Depending on your learning style, check out these instructors and see which course could work best for you. All are great options!

1.Luis Serrano's LLM University Course, hosted by Cohere at https://lnkd.in/ejWzEPak

  • I have known him for his Udacity courses, book "Grokking Machine Learning," and https://serrano.academy
  • Insightful podcast: "Luis Serrano Unfiltered" with Data Science Dojo https://lnkd.in/eVDGtEXd is how I learned about course and background.
  1. "Large Language Models A-Z" at https://lnkd.in/eGgbPmgu
  • I learned about the course from Super Data Science Podcast episode "Technical Intro to Transformers and LLMs" with Kirill Eremenko and Jon Krohn https://lnkd.in/ep7qiUsF
  • Preview Kirill's teaching style and course in the podcast. Watch if possible for clear explanations, though audio only is still helpful.
  1. "Build a Large Language Model (from Scratch)" by Sebastian Raschka, PhD (4 out of 8 chapters available now) https://lnkd.in/eXwgQXPb
  • From another SDS podcast episode "Open Source LLM Libraries and Techniques" with Dr. Sebastian Raschka, PhD https://lnkd.in/eduF7iha you can learn about his upcoming book.
  • I'm a long-time fan of Sebastian Raschka and his book "Machine Learning with PyTorch and Scikit-Learn" and Deep Learning course.

These instructors break down complex concepts and provide a solid foundation in ML fundamentals. Understanding the building blocks of ML will empower you to stay ahead of the rapid developments in the field. I'd love to hear your recommendations for other great LLM resources! Drop them in the comments below. hashtag

#LLM hashtag #MachineLearning hashtag #AI

Andrej Karpathy's YT channel has great from neural networks to building GPT from scratch. https://lnkd.in/ebWPFsYe " Thank you Kulsoom Abdullah, PhD for sharing this.

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Santhosh Parampottupadam
Santhosh Parampottupadam, photo 1
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Location

Berlin, Berlin, Germany