Sriram Ravindran
Senior Machine Learning Engineer at University of California, San Diego
San Jose, California, United States
Summary
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Senior🎓
Top SchoolSriram Ravindran is a Senior Machine Learning Engineer at Adobe with 11 years of experience building production ML systems and fraud-detection pipelines. He combines a strong academic foundation (MS in AI/ML from UCSD, B.Tech from IIT Indore) with hands-on impact—driving a multimodal layer at Adobe and earlier accelerating Yahoo Ads auto-suggest by ~13x. His research background in robust single-trial EEG classification and recurrent networks reflects a knack for translating novel models into practical gains for accessibility and BCI, and he has a track record of high-accuracy solutions in keystroke and medical-data tasks. Based in San Jose, he brings both deep research instincts and scalable engineering craftsmanship to cross-functional product problems.
12 years of coding experience
1 year of employment as a software developer
University of California San DiegoB.Tech., Computer Science & Engineering, Major GPA - 9.54/10.0, B.Tech., Computer Science & Engineering, Major GPA - 9.54/10.0 at Indian Institute of Technology, Indore
Tamil, Telugu, Hindi, English
Github Skills (25)
convolutional-neural-networks10
brain-computer-interface10
pytorch9
pdf9
adaptation8
roberta6
language-model6
lora5
unsupervised-learning5
inference4
deep-learning4
computer-vision3
semantic-segmentation3
single-page3
large-language-models3
Programming languages (2)
Github contributions (5)
aliasvishnu/leetcode
Jul 2017 - Feb 2018
Contributions:242 commits, 42 pushes in 6 months
aliasvishnu/EEGNet
Nov 2017 - Jul 2019
[Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.org/pdf/1611.08024.pdf
Contributions:12 commits, 2 PRs, 8 pushes in 1 year 7 months
brain-computer-interfacepdfpytorcheegneteeg-analysis
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