Shashank Shirol
Software Engineer at OSTTRA
Stockholm, Sweden
Summary
👤
Senior🎓
Top SchoolShashank Shirol is a Stockholm-based software engineer with eight years of experience building data-driven and AI-infused systems using Python, Java, C/C++, and web technologies. He combines industry experience at Goldman Sachs and OSTTRA with applied research—publishing high-accuracy crowd analysis work and a top-graded bachelor’s thesis on speech data augmentation—and recently completed a master’s at KTH while mentoring prospective students. His background spans quantitative analytics, autonomous robotics (master thesis on socially aware robot behavior at Husqvarna), and production-focused internships, giving him fluency across research prototypes and enterprise delivery. Known for a curious, playful attitude (GitHub bio: "A Potato trying to become french fries"), he brings rigorous academic training—graduated top 5% in his B.Tech—and a willingness to bridge deep learning research with practical software engineering.
8 years of coding experience
Master of Science - MS Computer Science, Master of Science - MS Computer Science at KTH Royal Institute of TechnologyBachelor of Technology - BTech Computer Science and Engineering (Minor in Intelligent Systems), Bachelor of Technology - BTech Computer Science and Engineering (Minor in Intelligent Systems) at Manipal Institute of TechnologyPre-University Course, Pre-University Course at Bharati Vidyapeeth
English, Hindi, Marathi, Kannada, Swedish
Github Skills (37)
algorithms9
mathematics9
speech9
data-structures8
machine-learning-algorithms8
machine-learning8
r7
algorithm7
computer-science7
html6
streaming6
react6
nodejs6
deep-learning6
python6
Programming languages (6)
Github contributions (5)
shashankshirol/GeneratingNoisySpeechData
Dec 2020 - Jul 2021
A repository comprising of code for generation of noisy speech data from clean data using deep learning methods
Contributions:69 commits, 50 pushes, 1 branch in 7 months
deep-learningspeech
shashankshirol/LazyRemote
Aug 2021 - Jan 2022
A web-app/remote for when you're feeling lazy while streaming content
Contributions:42 commits, 2 PRs, 40 pushes in 4 months
reactwebrtcstreamingfeelingwhile
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