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Sai Suraj

Sai Suraj

Python, ML/DL, XR Developer

Services provided: Machine Learning Engineers , C++ , Deep Learning , Python Developers

Vijayawada, Krishna
₹400 / hour
Approximate rate

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About Sai Suraj:

I like contributing to Opensource projects. I am trying to become better and better at it.🌠😄

Experience

I am currently a 3rd-year undergraduate student at IIT Tirupati. I always liked learning to code and solving problems on platforms like HackerRank, CodeChef, and Codeforces. I also really like working with Data. So, I've learned Data Science (NumPy, pandas), and Machine learning (PyTorch, Sk-learn). I worked as a Google summer of code - contributor for a German supercomputing research center where I implemented a major part of the "Memory distributed Singular value decomposition" algorithm for Heat (Helmholtz analytics Toolkit), which is a new library/framework similar to NumPy, PyTorch. This is one of the most important algorithms used in recommender systems like YouTube and Netflix. During these 4 months, I learned a lot of new things from debugging different errors to learning some complex linear algebra useful for ML.
I also understood how to constantly communicate with the organization heads and my mentor properly as it was completely remote work. I completed the GSoC program by September 2022. Now I am looking for similar great opportunities. I promise that I am a hard worker and will finish most of the work before the deadline and since I already have an excellent experience with remote work I know exactly how to communicate regularly and give timely updates.

Education

I am currently a 3rd-year undergraduate student at IIT Tirupati. I always liked learning to code and solving problems on platforms like HackerRank, CodeChef, and Codeforces. I also really like working with Data. So, I've learned Data Science (NumPy, pandas), and Machine learning (PyTorch, Sk-learn). I worked as a Google summer of code - contributor for a German supercomputing research center where I implemented a major part of the "Memory distributed Singular value decomposition" algorithm for Heat (Helmholtz analytics Toolkit), which is a new library/framework similar to NumPy, PyTorch. This is one of the most important algorithms used in recommender systems like YouTube and Netflix. During these 4 months, I learned a lot of new things from debugging different errors to learning some complex linear algebra useful for ML.
I also understood how to constantly communicate with the organization heads and my mentor properly as it was completely remote work. I completed the GSoC program by September 2022. Now I am looking for similar great opportunities. I promise that I am a hard worker and will finish most of the work before the deadline and since I already have an excellent experience with remote work I know exactly how to communicate regularly and give timely updates.

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