Prashant Krishnan
Machine Learning Engineer at Apple
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolPrashant Krishnan is a Machine Learning Engineer with 8 years of experience building production ML systems and research-driven models across industry and academia. He combines applied work at Apple Ads and Wiliot with research expertise from UC San Diego and IISc, where he contributed to speaker verification, COVID-19 acoustic diagnostics, and few-shot multimodal entity recognition using GNNs and large language models. Comfortable shipping end-to-end solutions, he has experience from real-time computer vision checkout systems to scalable ML tooling and cloud deployments. Based in San Diego, he blends rigorous academic publication experience with practical product impact in ad platforms and edge sensing. A detail that sets him apart is his track record of turning research prototypes into efficient, end-to-end models (e.g., Neural PLDA) and organizing community challenges to accelerate applied ML.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering Computer Science, Bachelor of Engineering Computer Science at Ramaiah Institute Of TechnologyUniversity of California, San DiegoCBSE Class 12 PhysicsChemistyMathematics Computer Science AISSCE(Conducted by CBSE), CBSE Class 12 PhysicsChemistyMathematics Computer Science AISSCE(Conducted by CBSE) at Sindhi High School, HebbalCBSE Class 10 PhysicsChemistyBiologyMathematics AISSE(Conducted by CBSE), CBSE Class 10 PhysicsChemistyBiologyMathematics AISSE(Conducted by CBSE) at Kendriya Vidyalaya Malleswaram
Github Skills (15)
data-repository10
firebase9
image-recognition9
machine-learning9
convolutional-neural-networks9
angular8
web-application8
python7
deep-learning6
tensorflow6
backend6
image-classification6
speaker6
verification5
speaker-verification2
Programming languages (6)
Github contributions (5)
prash29/VaccineNotifier
May 2021 - May 2021
Contributions:46 commits, 39 pushes, 1 branch in 27 days
iiscleap/NISP-Dataset
May 2020 - Jul 2020
Contributions:30 commits, 30 pushes in 2 months
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