Kartikeya Upasani
Staff Research Engineer at Meta
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolKartikeya Upasani is a Staff Research Engineer in New York with 12 years of experience applying deep learning to NLP and recommendation problems. At Meta he drives post-training improvements for LLM factuality and response quality, contributes to Llama Guard safety, and previously built unsupervised representation learning for Instagram Reels and neural NLG for Portal voice assistants. He combines strong research instincts from a Columbia MS in Computer Science with hands-on production experience across large-scale consumer systems. Comfortable bridging research and engineering, he has a track record of turning academic ideas into robust features at scale. An early background in systems and mobile tooling across internships gives him a pragmatic lens on reliability and deployment.
12 years of coding experience
6 years of employment as a software developer
Bachelors Computer Science and Engineering, Bachelors Computer Science and Engineering at Indian Institute of Technology, IndoreMasters Computer Science, Masters Computer Science at Columbia University
English, Marathi, Hindi
Github Skills (32)
efficientnet10
multiclass-classification10
pytorch9
classification9
meta-learning9
resnet9
visual-recognition9
computer-vision8
modeling8
python8
deep-learning8
machine-learning8
incremental-learning8
imagenet8
data-science8
Programming languages (2)
Github contributions (5)
facebookresearch/dmae_st
Oct 2022 - Jan 2023
Directed masked autoencoders
Contributions:1 review, 14 commits, 7 pushes in 3 months
autoencodersdirectedmaskedpython
vikasraunak/CS258-iiti-group11
Jan 2014 - May 2014
Contributions:45 commits in 3 months
javascriptengineering
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