Sarthak Jain
Member of Profluent's machine learning team and first author of the Profluent-E1 protein encoder models
Sarthak Jain is a member of the machine learning team at Profluent, which builds AI models for protein design. Jain is the first author of "E1: Retrieval-Augmented Protein Encoder Models", the preprint behind the openly released Profluent-E1 models in 150M, 300M and 600M parameter sizes, and a co-author of the ProGen3 scaling preprint. Profluent's team page says Jain previously worked at Amazon Research on foundation models for text and has published work on machine learning interpretability.1234
Profluent-E1
Jain is the first author, with Joel Beazer, Jeffrey A. Ruffolo, Aadyot Bhatnagar and Ali Madani, of "E1: Retrieval-Augmented Protein Encoder Models", posted to bioRxiv in November 2025. Profluent released E1 the same day as its first retrieval-augmented protein encoder family, in 150M, 300M and 600M parameter variants, available for research and commercial use.23
E1 can take homologous protein sequences as context alongside a sequence of interest, alternating between intra-sequence and block-causal attention. Profluent describes uses including fitness prediction, structure prediction and representation learning.3
Other work
Work
Profluent-E1 150MOpen weights
First author of the E1 preprint describing the retrieval-augmented protein encoder family that includes the 150M-parameter model.23
Profluent-E1 300MOpen weights
First author of the E1 preprint describing the retrieval-augmented protein encoder family that includes the 300M-parameter model.23
Profluent-E1 600MOpen weights
First author of the E1 preprint describing the retrieval-augmented protein encoder family that includes the 600M-parameter model.23
Career timeline
Other documented roles
Roles the sources document but that are not confirmed as current.
- Researcher on foundation models for text, Amazon Research1
Related people
More sourced profiles at the same organization, in the same field, or from the same school.
- Ali MadaniAlso at Profluent
- Alex RivesAI for science
- Jeffrey A. RuffoloAlso at Profluent
- Arthur ConmyInterpretability
- Abdelrahman MohamedAlso at Amazon
- Brian HieAI for science
- Abdul Fatir AnsariAlso at Amazon Web Services
- David BauInterpretability
- Adam SelipskyAlso at Amazon Web Services
- David WaddenLanguage models
- Alex SmolaAlso at Amazon Web Services
- Garyk BrixiAI for science
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