Deepak Suresh
Software Engineer at Turtlemint
Mars, Auvergne-Rhône-Alpes, India
Summary
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Rockstar🎓
Top SchoolDeepak Suresh is a software engineer with a hybrid background in electronics and communications and roughly 1.8 years of hands-on backend development experience within a broader five-year professional timeline. He has shipped backend systems at startups and product teams including Turtlemint, PatentAssist.ai, and Stockhub, and has research internship experience from NIT Goa. Deepak also contributes to notable open-source work around parallelism and concurrency—helping maintain regression tests for HPX’s for_loop algorithm—demonstrating attention to correctness in high-performance C++ contexts. Based in Mars, Auvergne-Rhône-Alpes (originally India), he blends practical product delivery with test automation and QA skills that often sit between engineering and reliability. Colleagues would describe him as a pragmatic engineer who prioritizes stable, testable systems and brings a researcher’s rigor to production code.
5 years of coding experience
1 year of employment as a software developer
Bachelor of Technology - BTech, Electronics and Communications Engineering, Bachelor of Technology - BTech, Electronics and Communications Engineering at National Institute of Technology, GoaKendriya Vidyalaya Sangathan
Github Skills (6)
algorithms10
parallel10
cpp10
cplus10
testing10
concurrency9
Programming languages (7)
Github contributions (5)
STEllAR-GROUP/hpx
Feb 2022 - Feb 2022
The C++ Standard Library for Parallelism and Concurrency
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:9 reviews, 21 commits, 5 PRs in 8 days
Contributions summary:Deepak primarily contributed to test-related files, focusing on regression tests for the `for_loop` functionality within the HPX library. The commits include creating, updating, and formatting test files, as well as integrating these tests into the build process. The work focused on ensuring the correctness and stability of the `for_loop` algorithm within the HPX parallel computing environment.
cppconcurrencyc-plus-plusparallelismstandard-library
deepaksuresh1411/tensorflow
Dec 2020 - Mar 2023
An Open Source Machine Learning Framework for Everyone
Contributions:3 pushes, 1 comment in 2 years 3 months
pythondata-sciencedeep-learningmachine-learningframework-learning
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