Adarsh S
Engineering, Hiring, Team-Building at Mantis Tech
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolAdarsh S is a pragmatic engineering leader and founder with 10 years of experience building scalable systems, teams, and product-focused R&D in AI, AR/VR, and cloud infrastructure. Based in Bengaluru, he scaled an AR/VR simulation team, engineered early Unity and Magic Leap prototypes, and ran backend/cloud operations with 99.9% server stability. He founded ReallyConfused, which drew a million visits in its first week, and co-founded startups that shipped data streaming and AI tooling on Google Cloud. A longtime open-source contributor to CloudCV and EvalAI, he has hands-on experience improving backend robustness and test coverage for AI evaluation platforms. Known for a relentless learning mindset and optimistic diligence, he spends roughly 70% of his time coding and the rest reading non-fiction or tracking technical trends.
9 years of coding experience
5 years of employment as a software developer
Kendriya Vidyalaya SangathanBachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Model Engineering College
English, Malayalam, Hindi
Github Skills (14)
testing10
unit-testing10
python10
model-testing10
django10
ch7
artificial-intelligence4
machine-learning4
docker4
rep4
angularjs4
dockers4
ai4
repr4
Programming languages (8)
Github contributions (5)
Cloud-CV/EvalAI
May 2017 - Feb 2019
:cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI
Role in this project:
Back-end Developer & QA Engineer
Back-end Developer & QA EngineerContributions:101 commits, 50 PRs, 17 pushes in 1 year 9 months
Contributions summary:Adarsh primarily focused on enhancing the backend of the application, specifically by adding tests for the `__unicode__` functions in several models across different apps (challenges, participants, web, jobs, accounts, and hosts). Their contributions involved adding unit tests to ensure the correct functionality of the models' string representation. These changes reflect an effort to improve the robustness and test coverage of the application's core data models and components, indicating a focus on quality assurance.
pythondjangostate-of-the-artangular7tensorflow
guyandtheworld/ARvy
Mar 2018 - Jan 2019
Contributions:27 commits, 9 pushes in 9 months
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