Shreyas Kalvankar

MSc. Computer Science @ TU Delft

prof_pic.png

I am a graduate student in computer science at TU Delft.

My research interests are deeply rooted in the theoretical foundations of machine learning and deep learning, with a strong emphasis on the mathematical underpinnings of these technologies. I am particularly fascinated by the potential applications of these mathematical principles in scientific domains, such as mathematics, astrophysics, etc., where they can play a pivotal role in processing and enhancing research efforts. Moreover, I’m passionate about leveraging deep learning to tackle complex mathematical challenges across different scientific disciplines. These interests drive my curiosity at the intersection of artificial intelligence, mathematics, and scientific exploration.

I graduated with a Bachelor’s in Computer Engineering and briefly worked as an ML researcher at Relfor Labs, where I specialized in developing deep neural networks for audio data classification. I worked as a software developer at Dalton Maag where I worked on genetic algorithms.

In my free time, I enjoy exploring new languages, staying informed about technological advancements in computer science, physics, and mathematics, while also indulging in the study of history and linguistic anthropology. I also enjoy typography and sketching. I play basketball:basketball:. Go Lakers!

news

Sep 1, 2024 Began my master’s in Computer Science at De Technische Universiteit Delft. :sparkles:
Jun 17, 2022 Our work in Astronomical Image Colorization and up-scaling using Conditional Generative Adversarial Networks has been accepted at INFORMATIK 2022’s workshop ml.astro conducted by TU Dortmund in Hamburg.
Nov 22, 2021 Started working as a Software Developer at Dalton Maag, London.
Aug 14, 2021 Joined as a Machine Learning Engineer at Relfor Labs.
Jul 22, 2021 Graduated from K. K. Wagh Institute of Engineering Education and Research :sparkles:

selected publications

  1. einsteinpy.jpg
    EinsteinPy: A Community Python Package for General Relativity
    Shreyas Bapat, Ritwik Saha, Bhavya Bhatt, and 46 more authors
    2020
  2. kalvankar-astronomical.png
    Astronomical Image Colorization and Up-scaling with Conditional Generative Adversarial Networks
    Shreyas Kalvankar, Hrushikesh Pandit, Pranav Parwate, and 2 more authors
    2022