Sachin Shetty
Software Engineer at Bloomberg LP
United Kingdom
Summary
👤
Senior🎓
Top SchoolSachin Shetty is a software engineer with 9 years of experience specializing in C/C++ and middleware for connected vehicles and HMI systems, now contributing to analyzer features for QFX10K at Bloomberg after roles at Robert Bosch and Juniper Networks. He combines embedded systems expertise with backend development and configuration management (Git, Clearcase), and has practical exposure to multinational customer environments across Germany, Japan, and the US. A strong foundation in algorithms and data structures is complemented by hands-on ML work—implementing PCA, SVR, logistic regression and neural nets for image classification in a university ML repo—and a current interest in building dwani.ai. Known for quickly assimilating new languages and tools under pressure, he brings disciplined engineering from high-reliability domains and a track record of shipping production-grade features across networking and automotive stacks.
9 years of coding experience
Bachelor of Engineering (B.E.), Computer Science, 9.51, Bachelor of Engineering (B.E.), Computer Science, 9.51 at BVB College of Engineering and Technology
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (12)
scikit10
machine-learning10
tensorflow10
python10
numpy10
scikit-learn10
image-classification9
jupyter-notebook9
logistic-regression8
pca8
principal-component-analysis8
neural-network7
Programming languages (13)
Github contributions (5)
SOCS-2017-18/ml_lab_ecsc_306
Jul 2017 - Aug 2017
LabExample
Role in this project:
ML Engineer
ML EngineerContributions:13 commits in 1 month
Contributions summary:Sachin primarily focused on implementing machine learning models within the repository. Their contributions included adding code related to Principal Component Analysis (PCA), Support Vector Regression (SVR) with different kernels (linear, polynomial, and RBF), and Logistic Regression. The code also involved the use of TensorFlow for building and training neural networks, as demonstrated by files involving linear and logistic regression models, and a multi-layer perceptron (MLP). Additional work involved applying these models to image classification with MNIST dataset.
java
sachinsshetty/sachinsshetty
Jul 2020 - Mar 2025
Contributions:55 pushes, 1 branch in 4 years 8 months
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