Chetna Warade
Boston Chapter Innovation Council Leader
Boston, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolChetna Warade is a seasoned principal architect and innovation leader with over two decades of experience building large-scale AI, cloud and high-performance systems across Wipro, IBM, AWS, and early-stage ventures. She currently leads business and technical strategy for AI/ML platforms and the Boston chapter of an open agentic web initiative, blending product management, architecture and investor-facing ecosystem work. Her track record includes redesigning and scaling high-volume SaaS during COVID-19, contributing to Amazon EC2 and IBM Watson Data Platform, and architecting multi-cloud graph analytics and cloud ontologies at Cambridge Semantics. A patent holder with three pending patents, 20+ publications and deep expertise in polyglot programming, big data and performance tuning, she also contributes to prominent open-source tooling for Jupyter notebooks (pixiedust), enhancing data visualization and package management. Known for turning research-grade prototypes into production-ready systems, she pairs academic rigor (MS Computer Science) with hands-on engineering across startups and enterprise programs.
10 years of coding experience
21 years of employment as a software developer
University of GeorgiaBachelor of Computer Engineering Computer Engineering, Bachelor of Computer Engineering Computer Engineering at Thadomal Shahani Engineering College
Hindi, English, Marathi
Github Skills (7)
data-visualizations10
jupyter-notebook10
data-visualization10
data-visualisation10
python10
bokeh9
maven8
Programming languages (2)
Github contributions (5)
pixiedust/pixiedust
Dec 2016 - Feb 2017
Python Helper library for Jupyter Notebooks
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:48 commits, 12 PRs, 59 pushes in 2 months
Contributions summary:Chetna made several contributions to the `pixiedust/pixiedust` repository, a Python helper library for Jupyter Notebooks. The user primarily focused on enhancing the package manager functionality, as demonstrated by installing and uninstalling maven packages to the notebook kernel. The user also updated the plotting tools by implementing a two-dimensional bokeh scatter plot. The user demonstrated proficiency in Python and integrating external libraries to augment data visualization capabilities within the Jupyter Notebook environment.
pythonjupyter-notebookhelper-librarynotebooksjupyter
ibm-watson-data-lab/reddit-sentiment-analysis
Nov 2015 - Aug 2016
Contributions:41 commits, 28 pushes in 8 months
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