Deepika Kanade

Lead Research Engineer at Siemens

Bengaluru, Karnataka, India
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Summary

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Senior
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Top School
Deepika Kanade is a Lead Research Engineer with 8 years of experience building production-ready computer vision and ML systems, currently driving MLOps, instance segmentation and pose-estimation work at Siemens from Bengaluru. She holds an M.S. in Electrical Engineering (specializing in ML and CV) from USC and has a strong track record of shipping embedded vision software and quantization-aware inference optimizations from roles at Ambarella and research labs. Her strengths span end-to-end feature development, synthetic data generation with Blender, USD-based 3D world manipulation, and Kubeflow/Kubernetes pipelines for deploying models to diverse customer data. Deepika has repeatedly translated state-of-the-art research into practical systems—achieving SOTA quantized ImageNet results and adapting SLAM and perception modules for real-world mapping and bin-picking. Known for mentoring interns and managing scrum for mid-sized projects, she blends hands-on engineering with research rigor and an eye for realistic simulation-driven data generation.
code8 years of coding experience
job5 years of employment as a software developer
bookMaster's degree Electrical Engineering, Master's degree Electrical Engineering at University of Southern California
bookBachelor of Engineering (BE) Electronics and Telecommunication Engineering, Bachelor of Engineering (BE) Electronics and Telecommunication Engineering at Maharashtra Institute of Technology
languagesMarathi, Hindi, English
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Github Skills (21)

python9
machine-learning9
deep-learning9
keras8
tensorflow8
data-science7
neural-network7
object-detection6
mask6
segmentation6
deep-neural-networks5
ml5
recurrent4
mask-rcnn3
instance-segmentation3

Programming languages (2)

C++Python

Github contributions (5)

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Contributions:4 commits, 2 pushes, 1 branch in 8 months
Contributions:61 pushes, 3 branches in 4 months
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