Danish Syed
Sr Machine Learning Engineer at Orchard
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolDanish Syed is a Senior Machine Learning Engineer in the San Francisco Bay Area with a decade of experience and 5+ years focused on production-grade computer vision systems. He specializes in end-to-end ML pipelines, active and continual learning, and real-time edge deployment of transformer and deep learning models, with a proven impact in ag‑tech where his work mapped over half a million acres. Danish has bridged academic research and production—curating large 2D/3D datasets and mentoring students at the University of Michigan before leading scalable AI deployments at TerraClear. He’s equally comfortable optimizing edge inference with TensorRT and designing data curation workflows that accelerate experimentation, and he’s known for turning novel training strategies into deployable solutions. A practical researcher and hands-on mentor, Danish brings both rigorous academic grounding and product-focused execution to machine perception challenges.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Technology (B.Tech.) Electronics and Communications Engineering, Bachelor of Technology (B.Tech.) Electronics and Communications Engineering at Indian Institute of Technology (Indian School of Mines), DhanbadMaster of Science - MS Electrical & Computer Engg (Computer Vision), Master of Science - MS Electrical & Computer Engg (Computer Vision) at University of Michigan
English, Hindi, Urdu
Github Skills (50)
descriptor8
detector8
visual-odometry8
tensorflow7
deep-learning7
medical6
convolutional-neural-networks6
high-resolution6
efficientnet5
computer-vision5
discovery5
odometry5
benchmarking5
semantic-segmentation5
re-identification5
Programming languages (4)
Github contributions (5)
dysdsyd/SICGAN
Mar 2020 - Jul 2020
Contributions:68 commits, 12 pushes in 4 months
dysdsyd/kaggle-question-pairs-quora
Jun 2017 - Jul 2017
Contributions:24 commits, 24 pushes, 1 branch in 1 month
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