Danish Shrestha
Computer Vision Innovation Lead
Sydney, New South Wales, Australia
Summary
👤
Senior🎓
Top SchoolDanish Shrestha is a computer vision and ML leader with nine years of experience building production-grade deep learning systems and leading cross-functional teams from research to product. Based in Sydney, he currently heads innovation at Prime Vision, designing roadmaps and mentoring teams to deliver user-centric theft detection and parcel-tracking solutions powered by microservices, MLOps and active learning. He blends hands-on expertise in object detection, handwriting recognition and real-time ML with pragmatic system architecture—Docker, Kubernetes, Kubeflow and TensorFlow—to bridge research ideas into reliable deployments. Known for iterating on user experience and tracking KPIs, he pairs technical depth with strong stakeholder communication and a habit of exploring new research directions to stay ahead of the curve. An early robotics and SLAM researcher, he brings that experimental mindset to product-focused innovation, driving measurable improvements in accuracy and operational efficiency.
8 years of coding experience
11 years of employment as a software developer
Master of Engineering (M.Eng.), Information Technology, 1.5, Master of Engineering (M.Eng.), Information Technology, 1.5 at Frankfurt University of Applied SciencesBachelor of Engineering (BE), Electrical, Electronics and Communications Engineering, 75, Bachelor of Engineering (BE), Electrical, Electronics and Communications Engineering, 75 at Tribhuvan Vishwavidalaya
English, Nepali, German, Hindi
Github Skills (19)
draw9
python9
machine-learning9
deep-learning8
tensorflow8
data-science7
neural-network7
diagram7
javascript-client6
javascript6
deep-neural-networks5
ml5
electron5
graph-drawing5
graph-editor4
Programming languages (2)
Github contributions (5)
danishshres/ssd_c_api
Jul 2019 - Jan 2021
Contributions:7 commits, 5 pushes, 5 branches in 1 year 6 months
danishshres/satis
Mar 2021 - Mar 2021
Contributions:3 pushes, 1 branch in 1 day
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