Rumanu Bhardwaj
Natural Language Processing Scientist
New Delhi, Delhi, India
Summary
🎓
Top SchoolRumanu Bhardwaj is a Natural Language Processing Scientist and Python developer with eight years of experience applying ML, privacy-preserving techniques, and practical system design to real-world problems across NLP, computer vision, and numerical analytics. Based in New Delhi, she has delivered hackathon-ready projects under tight deadlines, contributed documentation and clarity to high-profile open-source efforts like Udacity’s deep learning notebooks and OpenMined’s PyDP, and ranked in the top 5% of Udacity’s Secure & Private AI scholarship. Her background spans startup growth analytics and marketing strategy, giving her a rare combination of data-driven product sense and technical depth in differential privacy, homomorphic encryption, and federated learning. An active community organizer and curator, she blends research interests in privacy and computational linguistics with hands-on coding and technical writing.
7 years of coding experience
Bachelor of Engineering, Information Technology, Bachelor of Engineering, Information Technology at Netaji Subhas Institute of TechnologyAISSCE, Physics, Chemistry, Mathematics with Computer Science and Communicative English, AISSCE, Physics, Chemistry, Mathematics with Computer Science and Communicative English at BGS International Public School
English, Hindi, French, Sanskrit, angika
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (4)
neural-network10
documentation10
deep-learning10
pytorch10
Programming languages (8)
Github contributions (5)
udacity/deep-learning-v2-pytorch
Jun 2019 - Jul 2019
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Role in this project:
Technical Writer
Technical WriterContributions:7 commits, 7 PRs in 29 days
Contributions summary:Rumanu primarily contributed by fixing typos and correcting minor grammatical errors within the project's documentation, specifically in the form of Jupyter Notebooks. Their edits focused on clarifying explanations, correcting the usage of possessive pronouns, and ensuring overall clarity. They corrected minor errors and made improvements to the structure and wording of the project's instructions and explanations. The changes primarily focused on the PyTorch notebooks and included changes to explanations of hyperparameters, tensor operations, and the loading of image data.
pytorchstyle-transferdeep-learning-nanodegreenanodegreeudacity
festusdrakon/MemeSaheb
Oct 2019 - Oct 2020
Contributions:7 commits, 4 pushes in 1 year
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.