Saurav Chakravorty
Vice President Of Engineering at JazzX AI
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolSaurav Chakravorty is an accomplished engineering leader and VP of Engineering based in Bengaluru with over 8 years driving AI and ML initiatives across SaaS and enterprise domains. He has led large data science and ML engineering teams at Freshworks, pioneering GenAI features that improved agent productivity and customer resolution workflows, and now steers product engineering at JazzX AI. His background spans industry and consulting roles—from Tata Steel and GE to Wipro and Brillio—where he blended domain knowledge in manufacturing, telecom, and healthcare with practical ML deployments and training programs. Saurav contributes to notable open-source projects such as pandas and the forecast package, focusing on documentation quality and clarity for widely used data science tools. He combines strategic vision with hands-on rigor: building MVPs in computer vision, NLP and speech, running an academy for skill development, and consistently shipping production-grade AI solutions. Known for translating complex research into usable product features, he pairs an IIT Kharagpur engineering foundation with an IIM Calcutta MBA for a rare mix of technical depth and business acumen.
8 years of coding experience
18 years of employment as a software developer
St. Francis SchoolMBA General Management, MBA General Management at Indian Institute of Management, CalcuttaBachelor of Technology (B.Tech.) Electrical and Electronics Engineering, Bachelor of Technology (B.Tech.) Electrical and Electronics Engineering at Indian Institute of Technology, KharagpurDelhi Public School, Ranchi
Github Skills (12)
data-analysis10
forecasting10
time-series10
forecast10
flake10
restructuredtext10
documentation10
r10
cran10
python9
pandas8
data-science4
Programming languages (3)
Github contributions (5)
pandas-dev/pandas
Nov 2018 - May 2019
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Role in this project:
Technical Writer
Technical WriterContributions:17 commits, 4 issues in 5 months
Contributions summary:Saurav's commits primarily focus on fixing flake8 errors and standardizing the header format across various documentation files within the pandas repository. This involves correcting formatting issues, ensuring PEP-8 compliance, and updating documentation files, particularly in the "whatsnew" and "io" sections. These changes improve the readability and maintainability of the project's documentation. The user's work ensures the documentation adheres to project standards.
pythondatalabeled-datamanipulationdataframes
robjhyndman/forecast
Oct 2017 - Oct 2017
Forecasting Functions for Time Series and Linear Models
Role in this project:Data Scientist
Data ScientistContributions:5 commits in 1 day
Contributions summary:Saurav primarily contributed to the documentation and refinement of the `tbats` and `bats` functions, which are central to time series forecasting within the project. Their work involved clarifying the documentation, correcting typos, and improving descriptions related to model components and transformation parameters. Additionally, the user updated project configuration files and merged code changes. This suggests a focus on improving the usability and clarity of existing forecasting tools.
forecastingr-packagetidymodelscranrstats
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