Bharath S

Assistant Vice President at OCBC

Federal Territory of Kuala Lumpur, Malaysia
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Summary

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Rockstar
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Top School
Bharath S is an experienced technology professional with a decade in financial services and e-commerce, currently serving as Assistant Vice President at OCBC where he supports securities trading, risk management, and tailored contract solutions. He moved up through roles at Infosys focused on US investment banking and securities lending, driving proactive support practices that measurably reduced incidents. Earlier experience at Groupon honed his operational rigor in merchant accounting, dispute resolution, and fraud analysis. Though trained as a mechanical engineer, Bharath has leaned into software and machine learning engineering—contributing backend code to the notable OpenMined/PySyft project by implementing tensor operations and maintaining tests. He combines hands-on coding chops with domain expertise in trading operations, making him effective at translating complex financial requirements into reliable technical solutions. Based in Kuala Lumpur, he brings a pragmatic, cross-disciplinary approach that bridges production engineering, ML tooling, and operational risk control.
code11 years of coding experience
job5 years of employment as a software developer
bookBachelor of Engineering - BE, Mechanical Engineering, Bachelor of Engineering - BE, Mechanical Engineering at Tagore Engineering College
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Github Skills (11)

tensorrt10
pytorch10
tensor10
tensorflow10
operation10
python10
numpy10
federated-learning5
deeplearning-ai4
deep-learning4
cryptography3

Programming languages (6)

C#TypeScriptJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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OpenMined/PySyft

Sep 2017 - Feb 2018

Perform data science on data that remains in someone else's server
Role in this project:
userBack-end Developer
Contributions:104 commits, 91 PRs, 102 pushes in 5 months
Contributions summary:Bharath primarily contributed to the implementation of tensor operations within the `pysyft` library, focusing on adding new functionalities and updating existing styles. Their commits added operations like `half`, `fmod`, `cross`, and `squeeze` to the tensor class. Further, the user was involved in code style updates and maintenance by updating test files to work with the new features added.
data-sciencedeep-learningsecure-computationpytorchprivacy
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Contributions:8 reviews, 651 commits, 108 PRs in 4 years 9 months
pytorchpythonmachine-learningdeep-learningpytorch-tutorials
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