Anil Sathyan
Member Of Technical Staff at Streamoid - AI for Fashion Retail
Kerala, India
Summary
👤
Senior🎓
Top SchoolAnil Sathyan is a software engineer and computer vision researcher with about 10 years of experience, currently working as Member of Technical Staff at Streamoid where he applies deep learning to fashion retail problems. He previously worked as a project assistant at IISc Bengaluru, implementing research papers and building image-processing prototypes grounded in strong academic training (MTech, VIT; BTech, GEC Thrissur). Passionate about bits and pixels, he blends hands-on model development, Android app work, and Linux/open-source contributions to move research ideas toward practical systems. A habitual learner and bibliophile, he routinely digests technical blogs and online courses to stay current, and outside work he enjoys cycling and film-watching with friends—small routines that keep his curiosity and problem-solving fresh.
10 years of coding experience
Bachelor of Technology - BTech, Computer Science and Engineering, 7.01, Bachelor of Technology - BTech, Computer Science and Engineering, 7.01 at Government Engineering College, ThrissurMaster of Technology - MTech, Computer Science and Engineering, 8.27, Master of Technology - MTech, Computer Science and Engineering, 8.27 at Vellore Institute of Technology
Stackoverflow
1,623reputation
369kreached
21answers
17questions
google-colaboratory
top-5%
Github Skills (163)
python10
image-processing10
pipeline-framework10
pitch10
deep-learning10
stream-processing10
efficientnet10
calculator10
convolutional-neural-networks10
video-processing10
ml10
audio10
neural-network10
computer-vision10
transfer-learning10
Programming languages (7)
Github contributions (5)
anilsathyan7/indian-currency-classification
Oct 2019 - Oct 2019
Contributions:17 commits, 15 pushes, 1 branch in 1 day
anilsathyan7/pytorch-image-classification
Nov 2019 - Jan 2021
Image classification using pytorch
Contributions:1 release, 31 commits, 2 PRs in 1 year 2 months
pytorchpythonefficientnetdeep-learningtransfer-learning
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