Deepak Battini
Technology Consultant at Department for Infrastructure and Transport
South Australia
Summary
🤩
Rockstar🎓
Top SchoolDeepak Battini is a seasoned Technology Consultant based in South Australia with over a decade of hands-on experience building full-stack solutions across Microsoft and web technologies. He has delivered integrations and cloud-ready applications for government, higher education, and enterprise clients, and has led teams through agile delivery and TFS build automation. Deepak combines deep C#/.NET, Azure, Dynamics CRM/NAV and front-end expertise with a practical design-first approach to UML and solution architecture. An active open-source contributor, he has contributed ML-focused functionality to prominent SciSharp projects (NumSharp and TensorFlow.NET), reflecting an unusual blend of enterprise systems experience and machine-learning tooling in .NET. Known for sharp debugging skills and pragmatic automation, he also experiments publicly through a tech blog and several personal OSS projects.
10 years of coding experience
13 years of employment as a software developer
High School Physics Chemistry Mathematics and Biology, High School Physics Chemistry Mathematics and Biology at Govt. Model Sr. Sec. SchoolBachelor of Engineering (B.E.) Electronics and Instrumentation, Bachelor of Engineering (B.E.) Electronics and Instrumentation at Anna University Chennai
English, Hindi
Stackoverflow
9reputation
0reached
1answer
0questions
Github Skills (18)
machine-learning10
tensorflow10
dotnet-core10
neural-network10
csharp10
optimizers9
dotnet9
unit-testing9
optimizer9
net9
deeplearning-ai9
deep-learning9
asp-net9
keras8
numpy8
Programming languages (7)
Github contributions (5)
SciSharp/TensorFlow.NET
Jun 2019 - Jan 2020
.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
Role in this project:
ML Engineer
ML EngineerContributions:26 commits, 6 PRs, 8 pushes in 6 months
Contributions summary:Deepak implemented the `zero_fraction` function, a core functionality within the TensorFlow.NET library, which calculates the fraction of zeros in a tensor. This involved modifications across multiple files, including core operations, data types, and unit tests. The user also addressed build issues within the unit tests. Furthermore, the user began the skeleton for building Keras API within the project and implemented supporting functions like `add_control_input` and `update_edge`.
deployingdotnetdevelopingscisharpdeep-learning
SciSharp/NumSharp
Apr 2019 - Oct 2019
High Performance Computation for N-D Tensors in .NET, similar API to NumPy.
Role in this project:Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:7 commits, 1 PR, 1 push in 5 months
Contributions summary:Deepak primarily contributed to the `numsharp` repository by adding a neural network example. This included implementing core components like optimizers, cost functions, and layers, indicating a focus on building machine learning models within the .NET environment. The user demonstrated proficiency in utilizing the NumSharp library for tensor operations. Furthermore, the user contributed to the implementation of random distribution functions which directly aligns with the repository's purpose.
pythonndarraynumbatensortensorflow
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