Hello World! I’m Kushashwa Ravi Shrimali, a Computer Science and Engineering Graduate from IIIT-NR. I currently work as Software Engineer at DE Shaw India. I love computer science, and love going deeper into how things work. If you love videos, I have a YouTube Channel where I post about programming, and a Twitch Channel where I stream whenever possible. If you love reading text, please hop on to my Blog to read more content.

Work Experience

• DE Shaw India (March 2024 to Present)
  • Part of their Python Infrastructure team.
• Abnormal Security (Software Engineer 2) (December 2023 to February 2024)
  • Worked on building the next generation of email security products.
  • Led some integrations for their data integration pipelines of external applications.
• Lightning AI (Research Engineer) (February 2022 to November 2023)
  • Lead of Lightning Flash library.
  • One of the core maintainers of PyTorch Lightning and Lightning framework.
• Quansight Labs (Software Developer) (June 2021 to February 2022)
  • Contributed to PyTorch, check my work here: https://github.com/pytorch/pytorch/pulls/krshrimali
• NVIDIA (Deep Learning Frameworks Team, PyTorch), Santa Clara, US
  • On site internship at NVIDIA Head Quarters, Santa Clara. See the following PRs if you want to know what I worked on.
    • https://github.com/pytorch/pytorch/pull/33322
    • https://github.com/pytorch/pytorch/pull/33063
    • https://github.com/pytorch/pytorch/pull/33063
  • Mentor: Michael Carilli (Senior Software Developer, NVIDIA)
  • Manager: Christian Sarofeen
• Care AI (Software Developer Intern, AI), Florida, US (April 2020 to August 2020)
  • Remotely working (due to COVID-19 pandemic). Major responsibilities include:
    • Optimizing workflow using TensorRT (mainly using C++ API).
  • Applying Deep Learning, Speech Recognition and Machine Learning models on Android Apps.
• Rapid Rich Object Search (ROSE) Labs, NTU Singapore
  • On-site internship at ROSE Labs, NTU Singapore under Prof. Alex Kot (Director, ROSE Labs). Worked on Automatic License Plate Recognition technique in real time using PyTorch in both C++ and Python. Used YOLO based network and achieved 85% accuracy for Single Line License Plates and Double Line License Plates (tested on real time dataset of Singaporean Vehicles).
  • Mentor: Prof. Alex Kot, Dennis Sng (Deputy Director & Principal Scientist) and Devadeep Shyam (Project Mangaer, AI)
• Big Vision LLC and LearnOpenCV, California
  • Worked from home in writing blogs and working for clients for Big Vision LLC. Became OpenCV Contributor during my internship, and worked on several projects using C, C++ and Python.
  • Mentor: Dr. Satya Mallick (CEO, LearnOpenCV)
• Indian Institute of Information Technology and Management, Gwalior
  • On-site internship at IIITM Gwalior and worked on A* Search Algorithm to understand communication between a robot and a UAV.
  • Co-authored a paper with Ashish Upadhyay and Prof. Anupam Shukla: https://www.sciencedirect.com/science/article/pii/S1877050918309979.
  • Mentor: Prof. Anupam Shukla (now Director, IIIT Pune)
• OpenStudy, Palo Alto
  • The responsibilities included to actively promote the website and it’s cause amongst the students and to guide them through the beginning steps for the website. Made sure the smooth following of Code of Conduct of OpenStudy. Also worked as a leader of OpenStudy Newsletter Programme for two editions as well as Designer in one edition.
  • Worked under Preetha Ram and Ashwin Ram (now: Technical Director of AI, Google Cloud)
• Student Activity Concil, IIIT Naya Raipur
  • Coordinated clubs running under SAC: Artificial Intelligence and Machine Learning Club, The Society of Coders. Also became the Technical Coordinator of Annual Technical and Cultural Fest - TechNovate 2019.

Twitch and YouTube Channels

• Twitch: https://twitch.tv/buffetcodes
• YouTube: https://youtube.com/c/kushashwaraviShrimali

Contact Me

Feel free to reach out to me on Twitter, or on email: codebuffet@gmail.com.