Gautam Naik
Machine Learning Engineer at Meta
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolGautam Naik is a machine learning engineer with nine years of experience building production ML and NLP systems, currently at Meta after a two-year engineering stint at DeepScribe. He combines strong research roots—coauthoring work from a MELD multimodal emotion recognition dataset accepted at ACL—with practical SDK and platform engineering from Oracle, where he delivered client SDKs and integrations under tight deadlines. Trained at BITS Pilani and UC San Diego (MS CS, 4.0 GPA), he moves fluidly between prototyping research models and shipping scalable voice, speech, and conversational AI features. Notably, he helped create widely used emotion-recognition resources during his NTU research and later translated that expertise into clinical and product-focused ML at DeepScribe. Based in San Jose, he blends academic rigor with product-minded execution and a track record of taking projects from dataset and model creation through to customer-facing deployments.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, 4.0/4.0, Master of Science - MS, Computer Science, 4.0/4.0 at UC San Diego Jacobs School of Engineering12th(HSC Board-Maharashtra State), 94.00%, 12th(HSC Board-Maharashtra State), 94.00% at Pace Junior Science College10th(ICSE Board), 95.33%, 10th(ICSE Board), 95.33% at Ryan International School, KhargharBachelor of Engineering, Computer Science, 8.99/10, Bachelor of Engineering, Computer Science, 8.99/10 at Birla Institute of Technology and Science, Pilani - Goa Campus
Marathi, Hindi, English
Github Skills (23)
odk10
emotion-recognition10
sentiment-analysis10
emotion-analysis10
lstm10
dialogue-systems10
conversational-ai10
emotion-detection10
multimodal-interactions10
natural-language-understanding9
pytorch9
java9
emotion9
natural-language-processing9
android-app9
Programming languages (2)
Github contributions (5)
sid0312/AugGAN-Cross-Domain-Adaptation-with-GAN-based-DataAugmentation
Oct 2022 - Nov 2022
Contributions:125 pushes, 11 branches in 1 month
gmn0105/education-engineering
Sep 2017 - Dec 2017
Contributions:9 pushes, 2 branches in 2 months
dedicateddesign-projectsemester
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