Mridul Malpotra
Site Reliability Engineer II - Kubernetes Core Infra at Booking.com
Amsterdam, North Holland, Netherlands
Summary
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Senior🎓
Top SchoolMridul Malpotra is a Site Reliability Engineer with 11 years of experience designing and operating distributed, scalable systems—currently focused on Kubernetes core infrastructure at Booking.com in Amsterdam. He has deep SRE experience from high-throughput platforms at LinkedIn and container and CI/CD work at Media.net, combining performance tuning with reliability engineering. He also contributes to open-source data tooling, having implemented dataset converters and HDF5 ingestion features for the energy-disaggregation toolkit nilmtk, reflecting strong data-processing and back-end skills. Comfortable bridging infrastructure and product, he has hands-on experience across content delivery, data flow, and edge performance, and brings a pragmatic approach to making complex systems observable and fault-tolerant.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science and Engineering, Bachelor of Technology (B.Tech.), Computer Science and Engineering at Indraprastha Institute of Information Technology, DelhiSecondary School, Mumbai, Secondary School, Mumbai at Thakur Public School
Github Skills (6)
pandas10
hdf10
python10
data-engineering10
data-transformation9
algorithms9
Programming languages (2)
Github contributions (5)
nilmtk/nilmtk
Oct 2014 - Nov 2014
Non-Intrusive Load Monitoring Toolkit (nilmtk)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:11 commits in 14 days
Contributions summary:Mridul primarily contributed to the development of dataset converters for the `nilmtk` project, focusing on the ECO and AMPDs datasets. Their work involved writing Python code to parse and transform data from various formats into a standardized HDF5 format. They implemented features for appending to existing HDF5 files and addressed metadata conversion issues. The user's commits indicate a strong focus on data processing and standardization for energy disaggregation.
forecastingpythonnilm-algorithmsnilmelectrical-engineering
paperbackraita/paperbackraita.github.io
Feb 2016 - Jan 2021
Contributions:34 pushes, 1 branch in 4 years 11 months
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