Rajath Kumar
Founding Research Scientist at Nuance Labs
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolRajath Kumar is a founding research scientist based in New York with 11 years of experience building multimodal foundational models and leading applied research teams. Previously a Senior Applied Scientist and Tech Lead at Amazon working on AGI initiatives, he combines deep academic training from Columbia (EE) with hands-on production ML experience across speech, vision, and multimodal systems. His early research spanned neural acoustic processing, music source separation, and ECoG-based ASR, and he has taught and developed numerical methods and Python course materials used in Columbia classes. An active practitioner of reproducible notebooks, his GitHub contributions include educational Jupyter/IPython materials for numerical methods and Python that reflect a strong commitment to clear technical teaching alongside research. Colleagues describe him as a pragmatic scientist who moves state-of-the-art models toward real-world products while keeping an educator’s attention to explainability and implementation detail.
11 years of coding experience
8 years of employment as a software developer
Bachelor's degree Electrical Electronics and Communications Engineering, Bachelor's degree Electrical Electronics and Communications Engineering at Visvesvaraya Technological UniversityMaster's degree Electrical Engineering, Master's degree Electrical Engineering at Columbia University
Github Skills (13)
text-manipulation10
notebook10
jupyter-notebook10
ipython10
interpolation10
strings10
numerical-methods10
differentiation10
python10
numpy10
matplotlib10
optimization9
data-analysis9
Programming languages (9)
Github contributions (5)
rajathkmp/Python-Lectures
Sep 2015 - Oct 2016
IPython Notebooks to learn Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:21 commits, 3 PRs, 20 pushes in 1 year
Contributions summary:Rajath's primary contribution involved modifying and adding to IPython Notebooks focusing on the fundamentals of Python, specifically strings. They are modifying existing code in the notebooks. The changes appear to involve the addition or modification of code examples demonstrating string manipulation functions.
pythondata-sciencelearn-pythonjupyter-notebookipython-notebooks
mandli/intro-numerical-methods
Sep 2017 - Oct 2017
Jupyter notebooks and other materials developed for the Columbia course APMA 4300
Role in this project:Data Scientist
Data ScientistContributions:14 commits, 4 PRs, 1 comment in 29 days
Contributions summary:Rajath made multiple changes to Jupyter notebooks related to numerical methods. Their commits involve introducing and modifying content related to Python programming, NumPy, Matplotlib, root finding, optimization, interpolation, differentiation, and quadrature. The user also added a section on list comprehension and appears to be working on various numerical analysis concepts and implementations within a course setting.
pythonconda-forgejupyter-notebookjupyterlabnotebooks
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