Sahil Khanna
Machine Learning Engineer at Adobe
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSahil Khanna is a machine learning engineer based in San Jose with five years of experience building ML training and serving platforms for companies like Adobe and Instacart. He currently develops compute infrastructure to support generative AI model training at Adobe, having previously led design and implementation of Instacart’s Griffin platform and other end-to-end ML lifecycle systems. His background spans computer vision research, large-scale featurization pipelines (PySpark, Beam), and production infra using Kubernetes, Terraform, and observability tooling. Sahil holds a Master’s from the University of Maryland where his research combined big data and computer vision to extract neighborhood health signals, and he has published work indexed on Google Scholar. Comfortable bridging research and production, he has repeatedly migrated on-prem systems to cloud-native architectures and built tooling to speed local ML development. Colleagues describe him as a practical engineer who pairs deep technical breadth with an appetite for collaborative knowledge-sharing.
5 years of coding experience
11 years of employment as a software developer
Master's degree Telecommunications Engineering, Master's degree Telecommunications Engineering at University of MarylandBachelor of Technology (BTech) Electrical Electronics and Communications Engineering, Bachelor of Technology (BTech) Electrical Electronics and Communications Engineering at Punjab Engineering College
Hindi, Punjabi, English
Github Skills (7)
python9
gluon9
machine-learning8
sqlalchemy8
sql6
data-science6
database4
Programming languages (1)
Github contributions (2)
instacart/lore
Feb 2021 - Sep 2022
Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers
Contributions:2 reviews, 4 PRs, 5 pushes in 1 year 7 months
pythondata-sciencemachine-learningresearchersgluon
sqlalchemy/sqlalchemy
Apr 2021 - Apr 2021
The Database Toolkit for Python
Contributions:1 issue in 1 day
sqlpythondatabasesqlalchemy
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