Malligaraj Malleswaran
Senior Software Engineer at Qualcomm
Germany
Summary
👤
Senior🎓
Top SchoolMalligaraj Malleswaran is a Senior Software Engineer based in Germany with a decade of experience building and deploying high-performance ADAS and automotive systems. He combines hands-on integration expertise—supporting customer ADAS stack onboarding and resolving cross-layer issues in vehicles—with platform architecture work, having designed middleware that enables configurable product variants and streamlined feature deployment. As a Scrum Master and team lead he has driven Agile delivery across teams of 7–9 engineers, automated CI/CD and testing pipelines to eliminate manual toil, and accelerated acceptance cycles for safety-critical releases. His background spans system-level testing with HiL and electric powertrain validation to embedded firmware and prototype hardware from his master’s work, giving him rare end-to-end domain fluency. Outside core development he contributes to well-known open-source projects like fastai by improving documentation, reflecting a pragmatic focus on developer experience and clarity. This blend of deep automotive systems knowledge, delivery discipline, and attention to docs makes him effective at turning complex integrations into reliable, demo-ready features.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Technology (B.Tech.) (Honors) Electronics and Communications Engineering, Bachelor of Technology (B.Tech.) (Honors) Electronics and Communications Engineering at Shanmugha Arts, Science, Technology and Research AcademyMaster's degree Embedded Electronics System Design, Master's degree Embedded Electronics System Design at Chalmers University of Technology
English, German
Github Skills (7)
fastai10
documentation10
notebook4
python4
deep-learning3
deeplearning-ai3
machine-learning3
Programming languages (2)
Github contributions (5)
fastai/fastai
Feb 2022 - Mar 2022
The fastai deep learning library
Role in this project:
Technical Writer
Technical WriterContributions:33 commits, 3 PRs, 1 comment in 24 days
Contributions summary:Malligaraj primarily focused on improving the documentation within the fastai library. Their contributions included fixing broken links, correcting typos, and adding links to introductory streams and style guides, specifically targeting the "docment" sprint. They added the generated index.html file and updated the docments in several files. The user is focused on documentation.
pytorchpythondeep-learninggpumachine-learning
malligaraj/fastai-docment-sprint
Feb 2022 - Jun 2023
The fastai deep learning library
Contributions:39 pushes, 11 branches in 1 year 4 months
pytorchdeep-learningmachine-learningdeep-learning-libraryfastai
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