Shikhar Chauhan
Senior Machine Learning Engineer at Duco
Antwerp, Antwerp, Belgium
Summary
👤
Senior🎓
Top SchoolShikhar Chauhan is a Senior Machine Learning Engineer based in Antwerp with 11 years of experience applying deep learning and data science to real-world problems across finance, sustainability, and content safety. He has driven production multimodal Document AI at KBC and now builds ML systems at Duco, combining research-led approaches (graph neural networks, transformers) with pragmatic engineering and DevOps integration. His background spans startups and research labs—from developing harmful-content detectors at Factmata to AI for e-waste at imec—and includes mentorship and open-source contributions to PyTorch/vision and Visdom. Trained with a Master’s in Artificial Intelligence from KU Leuven and a BSc in Mathematics and Computing, he blends theoretical rigor with a hands-on ethos, often moving models from prototype to production. An under-the-radar strength is his cross-domain fluency: he routinely bridges document understanding, graph methods, and systems engineering to solve messy, deployment-focused ML problems.
11 years of coding experience
7 years of employment as a software developer
National Institute of Technology KurukshetraBachelor’s Degree Mathematic and Computing, Bachelor’s Degree Mathematic and Computing at Delhi Technological UniversityMaster's degree Artificial Intelligence, Master's degree Artificial Intelligence at KU LeuvenStartup Founder Track, Startup Founder Track at Startup School OnlineSt. Conrad's Inter College
Stackoverflow
2,798reputation
174kreached
44answers
14questions
Github Skills (98)
python10
datasets10
deep-learning10
torchvision10
computer-vision10
transformer10
nlp10
artificial-intelligence10
tensorflow10
natural-language-processing10
vtk10
pytorch10
machine-learning10
bert10
speech-recognition10
Programming languages (5)
Github contributions (5)
xssChauhan/CapsNets
Dec 2019 - Apr 2022
Contributions:2 pushes, 1 branch in 2 years 4 months
xssChauhan/visdom
Apr 2018 - Aug 2018
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
Contributions:26 pushes, 8 branches, 3 comments in 4 months
pythonnumpysharingtorchvisualizations
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