Hi there!

I’m Soham (pronounced: So-hum).
In this website, I will describe my experience in Computer Science.

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To summarize:

1. I studied Computer Science at New York University with a focus on Machine Learning.
2. I studied Computer Science and Engineering at National Institute of Technology Goa with a focus on Performance Engineering.
3. I have professional experience in Software Development Engineering from my time at Audible and Google Summer of Code.
4. I will graduate from NYU in May 2021, and will be seeking full-time employment then.

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1. New York University - Machine Learning

I have graduated from New York University’s Master of Science in Computer Science program in May 2021.

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During my time at NYU, I have rigorously studied and practiced Machine Learning. I am currently working under Prof. Parijat Dube and Prof. Krzysztof Geras. To summarize:

1. I have contributed to 3 Machine Learning research projects: Self-driving Cars, Robust Computer Vision, and Transfer Learning
2. I have completed 8 graduate Machine Learning courses: Refer to transcript
3. In the Project Blog below, I have documented 1 ML Research project and 4 ML Course Projects

The projects on Robust Computer Vision and Transfer Learning are in progress, and have not been documented in my Project Blog.
To name one tangible contribution, I improved the runtime of the PGD implementation in the Robustness library. The details can be found here: https://github.com/MadryLab/robustness/issues/98.

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2. National Institute of Technology - Performance Optimization

I received my B.Tech degree in Computer Science and Engineering from National Institute of Technology Goa in May 2018. I was very fortunate have been closely mentored by Prof. Purushothama B. R. during my last 2 years in the program.

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During my time at NIT, I concentrated on Performance Optimization, with a focus on Data Structures and Algorithms. To summarize:

1. I won 3 college-level coding competitions and our team received an honorable mention at ACM ICPC.
2. I contributed to 3 research projects on Performance Optimization: Efficient Access Control in Hierarchical Group Communication, Approximation Algorithms and Hueristics fo Data Science Tasks, and Efficient FPGA Implementation of Deep-Q Learning. The 2^nd project was conducted during a research internship at Indian Institute of Technology Bombay.
3. I completed 5 courses on Data Structures and Algorithms: Applied Algorithms, Parallel Algorithms, Design and Analysis of Algorithms, Theory of Computation, and Data Structures.
4. I served as a Teaching Assistant for 2 courses on Data Structures and Algorithms: Design and Analysis of Algorithms, and Theory of Computation

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Regarding coding competitions, our team received an Honorable Mention at ACM ICPC 2017, which is one of the most prestigous college-level coding competitions: Over 10,000 teams participated, with participants hailing from almost every reputed technical Indian university.

I also won college-level coding competitions held by reputed Indian Universities. For example, I won Code Heat, which was organized by Manipal Institute of Technology and had over 400 participants.

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These skills were crucial for the successful completion of my Google Summer of Code 2018 project, which involved optimizing the performance of Julia’s Graph Analysis libray.

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3. Software Development Engineering

I acquired professional experience in Software Development Engineering through my time as Audible as a Software Development Engineer Intern (2020), and my time at Google Summer of Code as a Software Development Mentor (2019) and Software Development Engineer (2018).

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During my full-time internship at Audible, I was tasked with developing a web application that a manager could use to generate a report on his team’s performance; I succeeded in creating an application that could generate 40% of the report. It is worth noting that this was my first project related to Web development and I had absolutely no prior experience. Inspite of this, I performed well enough to receive a Linkedin commendation from my immediate supervisor - Tyler McKay - which should vouch for my ability to learn new skills. To be perfectly frank, I could not have made this progress in that time-frame without his generous mentorship, which included code reviews after work hours and weekend discussions (requested by me, not Tyler).

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During my time at Google Summer of Code 2018, I was tasked with optimizing Julia’s Graph Analysis library.After the completion of my project, I continued contributing to Julia Graphs for 1 year. I was then invited to serve as a Software Development Mentor for Google Summer of Code 2019. More information regarding my project can be found below in Julia’s official blog and my blog.

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4. Employment Status

I am seeking full-time employment related to Machine Learning, Performance Engineering and/or Software Development. I have received authorization to be employed full-time in USA via. Post-completion OPT. I can work full-time in USA without any assistance from my employer for 3 years.
For more information regarding my qualifications, please refer to my resume for a summary or Linkedin profile for exhaustive details. Please contact me either via. Linkedin or the email provided in my resume if interested.