Divyansh Agarwal

Applied AI at Scale AI

New York, New York, United States
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Summary

👤
Senior
🎓
Top School
Divyansh Agarwal is an applied AI research engineer with 11 years of experience, currently building agentic and production-grade generative AI solutions for CRM and collaboration platforms. A CMU LTI graduate who worked with Prof. Zach Lipton, he has led research and product engineering on factuality, long summarization, RAG systems, LLM creativity, safety post-training, and automated evaluation at Salesforce AI Research. He blends rigorous academic grounding with hands-on production deployments—shipping models integrated with Slack, Tableau, and Einstein Trust Layer—and now continues applied AI work at Scale AI. Beyond models, he has experience designing synthetic RL simulation environments and human-in-the-loop annotation pipelines, reflecting a systems-minded approach to trusted AI. Notably, his background spans industry research, internship experience at Uber, and international research collaborations, giving him a breadth of perspective across applied NLP and ML engineering.
code11 years of coding experience
job8 years of employment as a software developer
bookBachelor of Engineering (BE) Information Technology, Bachelor of Engineering (BE) Information Technology at Netaji Subhas Institute of Technology
bookMaster's degree Computational Data Science, Master's degree Computational Data Science at Carnegie Mellon University
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Github Skills (28)

nlp10
pytorch9
python9
machine-learning9
natural-language-processing9
tensorflow9
deep-learning9
speech-recognition9
transformer9
language-model8
bert8
transformers8
seq2seq7
passage7
jax7

Programming languages (2)

PerlPython

Github contributions (5)

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salesforce/booksum

May 2021 - Feb 2022

Contributions:15 commits, 13 pushes, 24 comments in 9 months
jigsaw2212/ONE

Feb 2015 - Jan 2016

Contributions:3 PRs, 11 pushes, 2 branches in 10 months
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Divyansh Agarwal - Applied AI at Scale AI