Mansi Mane

Staff Machine Learning Scientist at Walmart

San Francisco Bay Area United States
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

🤩
Rockstar
🎓
Top School
Mansi Mane is a Staff Data Scientist in the San Francisco Bay Area with nine years of experience building large-scale ML and NLP systems for consumer and cloud platforms. She currently leads GenAI efforts at Walmart for semantic search, recipe generation, and food recommendation, and previously developed LLM integrations, model parallelism, and PyTorch/SageMaker tooling at AWS. Her background blends deep learning research from CMU with hands-on engineering in PySpark, TensorFlow, and production data pipelines, including siamese networks for item representation. Earlier work in digital design and computer vision gives her a rare cross-domain fluency across hardware-aware RTL design, medical imaging, and recommender systems. Colleagues rely on her to bridge research and production, shipping scalable ML features that directly improve user-facing relevance and personalization.
code9 years of coding experience
job5 years of employment as a software developer
bookBachelor of Technology (B.Tech.), Electronics and Telecommunication Engineering, Bachelor of Technology (B.Tech.), Electronics and Telecommunication Engineering at COEP Technological University
bookMaster’s Degree, Master of Science (MS), Electrical and Computer Engineering, Master’s Degree, Master of Science (MS), Electrical and Computer Engineering at Carnegie Mellon University
github-logo-circle

Github Skills (48)

transformers10
pytorch10
machine-learning-models10
python10
machine-learning10
inference10
multimodal10
numpy10
llm10
audio10
deep-learning10
aws10
gpu10
ai10
natural-language-processing10

Programming languages (3)

C++Jupyter NotebookPython

Github contributions (5)

github-logo-circle
Contributions:153 pushes, 1 branch in 1 year 10 months
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
Contributions:1 review, 3 PRs, 106 pushes in 2 months
containerspytorchmxnetservingcaffe2
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial