Ankur Singh
Senior Machine Learning Engineer at KARL STORZ
Singapore
Summary
👤
Senior🎓
Top SchoolAnkur Singh is a Senior Machine Learning Engineer with 8 years of experience specializing in computer vision and deep learning, currently focusing on surgical robotics and generative AI in Singapore. He has a strong research background with publications at ICIP, ICASSP, ECML, ICCV and CVPR workshops, and an MTech in Computer Vision from IIT Kanpur. His expertise spans domain generalization, continual and multi-task learning, representation learning, and cutting-edge generative models, implemented across PyTorch, TensorFlow and C++ production stacks. Ankur has moved fluidly between industry and research roles—from Adobe’s generative features for Illustrator to A*STAR’s LLM and diffusion projects—bringing academic rigor to product-facing systems. He often bridges modalities (3D reconstruction, medical imaging, video colorization) and has a track record of translating novel research (e.g., pedestrian intention and incremental learning) into deployed solutions. Colleagues describe him as a pragmatic researcher who prioritizes robust, generalizable models for real-world, safety-critical applications.
8 years of coding experience
6 years of employment as a software developer
Indian Institute of Technology Kanpur
Github Skills (20)
object-detection8
pytorch7
ios7
onnx7
machine-learning7
deep-learning7
yolov57
tflite6
coreml6
prediction5
yolov44
ml4
perception4
computer-vision4
autonomous-driving4
Programming languages (1)
Github contributions (5)
ankur219/ECG-Arrhythmia-classification
Jul 2018 - Jan 2020
Contributions:30 commits, 26 pushes, 1 branch in 1 year 6 months
daimenspace/ECG-arrhythmia-classification-using-a-2-D-convolutional-neural-network.
Jun 2018 - Jun 2018
Arrythmia prediction using MITDB dataset
Contributions:14 commits in 10 days
predictiondeep-learningdatasetmachine-learningconvolutional-neural-networks
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