Pulkit Tandon
Research Engineer at Granica
United States
Summary
👤
Senior🎓
Top SchoolPulkit Tandon is a research engineer with 8 years of experience building scalable, data-efficient ML systems and optimization tools for AI and cloud platforms. Currently at Granica (formerly NData/ProjectN), he focuses on data selection, compression, and cost-aware optimization for large-scale AI workloads. He holds an MS and is pursuing a PhD in Electrical Engineering from Stanford and has taught graduate courses there, including a new class on data compression. His industry work includes video encoding research at Netflix and practical lab-to-field hardware and measurement projects from earlier academic visits to EPFL and Syracuse. Known for bridging deep theoretical insight with production engineering, he combines signal-processing roots with hands-on systems design to reduce data and compute footprints in ML pipelines.
8 years of coding experience
Indian Institute of Technology BombayDoctor of Philosophy (Ph.D.) Electrical and Electronics Engineering, Doctor of Philosophy (Ph.D.) Electrical and Electronics Engineering at Stanford University
Github Skills (14)
compression9
python8
image-segmentation7
semantic-segmentation6
toolbox6
segmentation6
medical-image-segmentation6
semantic5
benchmark5
transformer5
pytorch5
deep-learning4
openmmlab4
swin-transformer3
Programming languages (3)
Github contributions (5)
tpulkit/txt2vid
Jan 2021 - Apr 2022
Contributions:95 commits, 14 pushes, 1 branch in 1 year 2 months
StanfordDataCompressionClass/notes
Sep 2022 - Nov 2023
Contributions:65 pushes, 1 branch in 1 year 1 month
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