Karishnu Poddar
Senior System Engineer at Cloudflare
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolKarishnu Poddar is a Senior System Engineer with 10 years of experience building scalable backend systems and developer-facing products, currently shaping AI-driven infrastructure at Cloudflare ETI. He has led high-throughput engineering efforts—scaling Yellow.ai’s inbox from 10k to 100k+ RPS, launching email ticketing and analytics, and introducing testing and review practices to grow teams. A co-author on a granted US patent and a top-2% cited researcher, he also contributed to popular open-source tooling like data-forge-ts by adding core iterators and DataFrame operations with thorough test suites. His background spans startups and product companies (Postman, S20.AI, Launch) where he shipped privacy-preserving ML platforms, agentic LLM workflows, and production-grade static analysis. Outside work he’s an advanced scuba diver and marathon runner—traits that reflect a mix of technical rigor, curiosity, and endurance.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at Vellore Institute of Technology
English, Hindi
Stackoverflow
313reputation
25kreached
15answers
2questions
Github Skills (21)
javascript10
testing10
data-manipulation10
typescript10
data-transformation10
chai10
typescript-types10
iterator10
typescripts10
data-structure9
data-analysis9
data-structures9
nodejs8
xml6
listview6
Programming languages (8)
Github contributions (5)
data-forge/data-forge-ts
May 2020 - Jun 2020
The JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:16 commits, 2 PRs, 3 comments in 14 days
Contributions summary:Karishnu contributed to the `data-forge-ts` project by implementing iterators and related functionality. The contributions include new iterators like "tile," "ravel," and "repeat," along with comprehensive test suites using Mocha and Chai. The code changes focused on core data transformation logic, demonstrating a good understanding of data structures and test-driven development. Additionally, the user added the "melt" method to the DataFrame class, which suggests experience with data manipulation and analysis techniques.
csvdataanalysis-toolkitjstreelinq
CuttleLabs/cuttle-cli
Oct 2020 - Aug 2021
Cuttle automates the transformation of your Python notebook into deployment-ready projects (API, ML pipeline, or just a Python script)
Contributions:1 release, 37 commits, 7 pushes in 9 months
transformationapipythonpipelinedata-science
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