submagr | 2 years ago | on: Ask HN: Who wants to be hired? (February 2024)
submagr's comments
submagr | 2 years ago | on: Ask HN: Who wants to be hired? (January 2024)
Remote: I am fine with relocating. Remote work is ok too.
Willing to relocate: Yes (preferably in the USA)
Technologies: Computer Vision and Robotics. C++, Python.
Résumé/CV: https://www.agshubh.com/, https://submagr.github.io/images/CV_Shubham_Agrawal.pdf
Email: [email protected]
I am a Senior Researcher at Samsung Research America in New York City, where I work on robotics, computer vision, and machine learning. Before joining Samsung, I received my CS master's from Columbia University with a focus on robotics and computer vision. During that time, I did several research projects under the supervision of Prof. Shuran Song. I did my Bachelor in Computer Science from IIT Kanpur. In the past, I also worked at Tesla Inc and Adobe Systems as a software development engineer.
submagr | 2 years ago | on: Gemini AI
submagr | 4 years ago | on: Shabdle: Wordle in Hindi
submagr | 4 years ago | on: Ask HN: I'm making like 0 friends at college, how to fix it?
The statement above reminded me of my situation when I was always busy with my coursework and couldn't find time for other activities. If that's your case, I will give three advices:
1) Work in groups: * Context: One thing that I learnt the hard way was people make friends by working with them together on assignments and discussing things. During my undergrad, working in groups felt like cheating to me: If I couldn't come up with a derivation or proof completely on my own => I don't understand it fully. How wrong was I in retrospect. * Advantages: (a) Learning is much faster (your friends understand what you know and what you don't, internet does not. When they explain something, they use this knowledge to specifically explain what you need) (b) You are much more likely to succeed (it's very unlikely that all of your group members feel lazy or unmotivated at the same time) * How to find groups: CS Projects usually require you to work in groups. Even if it's not, just call someone and say that you want to discuss this thing with them.
2) Don't spend too much time on courseworks: * Context: If you are in a good institute, your professors are probably very excited to teach and their course material is very rigorous. If you holistically try to understand everything in deep, I think it's just too much to learn in one semester. * Choose wisely: Decide in advance for what courses you want to understand everything and what courses you just want to pass. Passing a course (with a good grade) does not require understanding everything in deep, be smart about what to study.
3) Have some hobbies: Other answers have already touched upon this point.
submagr | 5 years ago | on: My collection of machine learning paper notes
submagr | 5 years ago | on: Chrome zero-day released on GitHub – fixed on V8 but still works on latest
submagr | 5 years ago | on: Spotify Apps Suck
submagr | 5 years ago | on: Spotify Apps Suck
submagr | 5 years ago | on: emoji-everywhere is an idea for supporting textual emojis. Will you use it?
User story:
- User types :laughing: somewhere on a site
- Extension automatically replaces it with a laughing emoji.
Requesting Feedback:
Please lmk if such a thing already exist and help me avoid reinventing the wheel. Open to your feedbacks and where you would like to use it.
Also open to Contributors.
submagr | 5 years ago | on: The Invention of a New Pasta Shape
Given we have an appropriate simulation engine, I can imagine the same idea being extended to the pasta shapes.
submagr | 5 years ago | on: "Can you teach me” is an idea for collaborative learning. Will you use it?
Idea:
- A user can have a list of things she would like to know.
- Other users can see them and tag them if they happen to have worked with it in past.
- Every week the app will pair up two people who can teach each other one thing.
- Both of them will meet on a video call for 1 hr. They will try to learn the thing themselves by googling around, but the expert user can help them finding good resources and solving quick doubts.
Remote: I am fine with relocating. Remote work is ok too.
Willing to relocate: Yes (preferably in the USA)
Technologies: Computer Vision and Robotics. C++, Python.
Résumé/CV: https://www.agshubh.com/, https://submagr.github.io/images/CV_Shubham_Agrawal.pdf
Email: [email protected]
I am a Senior Researcher at Samsung Research America in New York City, where I work on robotics, computer vision, and machine learning. Before joining Samsung, I received my CS master's from Columbia University with a focus on robotics and computer vision. During that time, I did several research projects under the supervision of Prof. Shuran Song. I did my Bachelor in Computer Science from IIT Kanpur. In the past, I also worked at Tesla Inc and Adobe Systems as a software development engineer.