Minhaz Palasara
Machine Learning LinkedIn
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolMinhaz Palasara is a machine learning engineer with 11 years of experience building production-scale computer vision and deep learning systems for enterprises like LinkedIn, Meta, Google and IBM Research. He led the productization of IBM’s Watson Visual Recognition and architected model customization and few-shot learning solutions that run at scale on cloud and mobile platforms. His work spans research and engineering—publishing novel transfer-learning and efficient architecture techniques while implementing cross-platform deployment across Caffe, Torch and TensorFlow. Strong in Java, C++ and Python, he focuses on learning from fewer samples to make advanced ML practical for real products. Based in New York, he combines academic rigor from Columbia University with hands-on product impact at top tech companies. An underappreciated strength is his experience translating optical and multispectral imaging research into clinically relevant tools, reflecting breadth across vision, biomedical signals, and production ML.
11 years of coding experience
14 years of employment as a software developer
Master of Science Computer Science Computer Science (Computer Vision and Machine Learning), Master of Science Computer Science Computer Science (Computer Vision and Machine Learning) at Columbia UniversityBachelor of Engineering (BE) Computer Science, Bachelor of Engineering (BE) Computer Science at Dwarkadas J. Sanghvi College of Engineering
English, Hindi, Gujarati
Github Skills (12)
pytorch10
machine-learning10
deep-learning10
tensorflow10
jax10
python10
data-science10
recurrent8
recurrent-neural-networks6
caffe4
theano4
neural-network3
Programming languages (2)
Github contributions (5)
MinhazPalasara/keras
Oct 2015 - Jan 2016
Contributions:7 commits, 8 pushes in 2 months
deep-learningrecurrent-neural-networkstheanoneural-networksmachine-learning
MinhazPalasara/Melanoma_Classification
Sep 2015 - Oct 2015
Contributions:7 commits, 6 pushes, 1 branch in 24 days
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