Vedant Nanda
AI Scientist at Mistral AI
Germany
Summary
👤
Senior🎓
Top SchoolVedant Nanda is an AI scientist with a decade of experience building reliable, efficient foundation models and steering mechanisms for large language models, currently on the Science team at Mistral. He earned a Ph.D. through the Maryland–Max Planck joint program, where his work on robustness and fairness in deep learning led to publications across ICML, ICLR, NeurIPS, FAccT and related venues. At Aleph Alpha he focused on high-throughput inference and pre-training and on customizable LLMs via steering vectors and SAEs, and he’s previously worked on fairness and counterfactual explanations during internships at AWS. Vedant combines deep academic rigor with hands-on engineering for production-scale model efficiency, and his background spans interdisciplinary deployments and open research—hinting at a practitioner who values both principled evaluation and real-world impact.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of MarylandBachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Indraprastha Institute of Information Technology, Delhi
English, Hindi, French, German
Github Skills (47)
infiniband10
kubernetes10
glusterfs10
visualization10
fat10
qt10
python10
rdma10
data-science10
nfs10
matplotlib10
fuse10
openebs10
storage10
blob-storage10
Programming languages (2)
Github contributions (5)
nvedant07/matplotlib
Feb 2017 - May 2017
Contributions:26 pushes, 5 branches in 3 months
pythonmatplotlibplottingvisualization
nvedant07/ceph
Mar 2017 - Oct 2018
Ceph is a distributed object, block, and file storage platform
Contributions:17 pushes, 5 branches in 1 year 8 months
file-storagecephdatabasestoragedistributed-file-system
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