Niraj Pandkar
Associate
Salt Lake City, Utah, United States
Summary
👤
Senior🎓
Top SchoolNiraj Pandkar is an Associate at Goldman Sachs with 11 years of experience applying machine learning and data engineering to solve real-world problems. He holds a Master's in Computer Science from San Jose State University and has published IEEE research on reconstructing faces from DNA, demonstrating a rare blend of academic rigor and applied ML. His projects include a viral Cartoonizer app that reached 150,000 users and practical engineering contributions to Magenta’s Sketch-RNN codebase, showing both product sensibility and open-source fluency. Niraj writes a thoughtful AI newsletter and brings end-to-end experience from data preprocessing and genomic pipelines to deploying scalable ML systems in production.
11 years of coding experience
2 years of employment as a software developer
San José State UniversityData Scientist Nanodegree, Data Science, Data Scientist Nanodegree, Data Science at UdacityBachelor of Engineering (BE), Computer Science, Bachelor of Engineering (BE), Computer Science at Maharashtra Institute of Technology
English, Marathi, Hindi, German
Stackoverflow
163reputation
26kreached
1answer
11questions
Github Skills (16)
data-loading10
machine-learning10
tensorflow10
python10
numpy10
artificial-intelligence9
html6
asynchronous6
css6
authentication6
firebase-authentication6
javascript6
bootstrap6
firebase6
jquery6
Programming languages (9)
Github contributions (5)
magenta/magenta
Apr 2020 - Apr 2020
Magenta: Music and Art Generation with Machine Intelligence
Role in this project:
ML Engineer
ML EngineerContributions:6 commits, 1 PR, 10 comments in 1 day
Contributions summary:Niraj primarily focused on modifying the `sketch_rnn_train.py` file within the Magenta repository, likely related to the Sketch-RNN model. Their contributions involved addressing an attribute error caused by the `six` module and adding a parameter during the loading of a NumPy archive (`npz`) dataset. Furthermore, they cleaned up the code by removing commented lines and redundant conditional blocks for loading the dataset. These modifications suggest the user was working on improving data loading and potentially fixing bugs related to the model training process.
artmusic-generationgenerative-artmagentamachine-learning
nirajpandkar/awesome-rubiks-cube
Aug 2016 - Oct 2017
Contributions:11 commits, 1 PR, 4 pushes in 1 year 2 months
links
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