Manik Jindal
Software Engineer at DocuSign
Redmond, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolManik Jindal is a software engineer with 12 years of experience building robust, performance-conscious systems across Microsoft and DocuSign, currently based in Redmond, Washington. He has shipped features for Office apps on Windows and Android—optimizing memory, implementing undo/redo, RTL support, and print functionality—and later contributed to deep-learning tooling at Microsoft, including meaningful changes to the popular Microsoft Cognitive Toolkit (CNTK). Comfortable across native, mobile, and ML infrastructure stacks, he has removed heavy dependencies, improved image processing integration, and supported Docker-based builds for reproducible deployments. His background includes low-level systems work (Aerospike connector, Python client fixes) and practical security-focused internships, reflecting a blend of product-focused engineering and careful platform-level thinking. Colleagues would describe him as a pragmatic engineer who surfaces maintainability improvements that quietly reduce risk and operational cost.
13 years of coding experience
10 years of employment as a software developer
B.Tech., Computer Science and Engineering, B.Tech., Computer Science and Engineering at Indian Institute of Technology, HyderabadHigh, High at Summer Field High SchoolSenior Secondary, Non-medical, Senior Secondary, Non-medical at Gandhi Sen. Sec. School
English, Hindi, Punjabi
Stackoverflow
23reputation
77reached
0answers
1question
Github Skills (13)
machine-learning10
deeplearning-ai10
c-language10
deep-learning10
cntk10
cprogramming-language10
python10
tensorboard9
csharp7
docker6
perl6
regex6
dockers6
Programming languages (3)
Github contributions (5)
microsoft/CNTK
Nov 2017 - Feb 2018
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Role in this project:
ML Engineer
ML EngineerContributions:3 releases, 41 commits, 11 PRs in 3 months
Contributions summary:Manik primarily contributed to the Microsoft Cognitive Toolkit (CNTK) by modifying and adding to the codebase. Their work included disabling a test related to image processing due to external dependency issues, removing an OpenCV dependency from the core library, and adding functionality for image writing within the TensorBoard integration. Further contributions involved adding dependencies for building a Docker image and bumping the version of CNTK. The user also added and modified files related to tutorials.
cntkdeep-learningcognitive-toolkitmachine-learningdeep-neural-networks
manikjindal/RepoTest1
Nov 2017 - Jan 2018
Contributions:6 PRs, 11 pushes, 9 branches in 3 months
testing
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