Neeraj Kashyap
Senior Software Engineer at Capgemini
Pune, Maharashtra, India
Summary
🤩
Rockstar🎓
Top SchoolNeeraj Kashyap is a Senior Software Engineer based in Pune with over a decade of experience building reliable, production-grade systems across backend, DevOps, and front-end domains. He has driven measurable impact—boosting email targeting efficiency by 40%, improving data transmission/storage by 30%, and expanding product uptake across verticals—while transitioning into senior roles at Capgemini and GS Lab. Neeraj combines strong Java and cloud logging/observability expertise with hands-on DevOps work, notably improving crash reporting and CLI tooling for the popular activeloopai/deeplake project. His background in scientific computing gives him a data-oriented approach to system design and automation. Colleagues know him as a practical problem-solver who translates operational pain points into robust engineering solutions. Outside the obvious metrics, he brings a knack for turning telemetry and log pipelines into actionable intelligence that improves both developer productivity and product reliability.
11 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Modern College of Arts,Science and CommerceHoly Cross English High School, AurangabadHigher School Certificate Science, Higher School Certificate Science at S.B.E.S College of Science,AurangabadM.Sc(Scientific Computing), M.Sc(Scientific Computing) at Interdisciplinary School of Scientific Computing,Savitribai Phule Pune University
English, gujarathi, Hindi, Marathi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
logging10
devops10
python10
cicd9
testing7
mlops5
machine-learning4
ai4
Programming languages (16)
Github contributions (5)
activeloopai/deeplake
Oct 2020 - Aug 2022
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
Role in this project:
DevOps Engineer
DevOps EngineerContributions:22 commits, 12 PRs, 7 comments in 1 year 9 months
Contributions summary:Neeraj focused on implementing and improving the project's crash reporting and logging capabilities. They introduced error reporting using Bugout.dev, modifying exception handling and integrating reporting mechanisms. The user also configured the project to disable crash reporting during testing and added features to the command line interface, indicating an understanding of the project's infrastructure and operational aspects.
pythonreal-time-datadata-streamjupyter-notebookvisualize
bugout-dev/humbug
Feb 2021 - Dec 2021
Get usage metrics and crash reports for your API, library, or command line tool.
Contributions:5 releases, 45 reviews, 146 commits in 9 months
gdpr-compliantpythongomonitoringcommand-line-tool
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