Rameswar Panda
Distinguished Engineer at IBM
Cambridge, Massachusetts, United States
Summary
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Rockstar🎓
Top SchoolRameswar Panda is a Distinguished Engineer at IBM Research based in Cambridge with nine years of experience at the intersection of computer vision and machine learning. He spent six formative years at the MIT–IBM Watson AI Lab focusing on learning with limited supervision—transfer learning, few-shot learning—and dynamic computation for vision problems, and holds a PhD in Computer Vision from UC Riverside. His background includes internships and research roles across industry labs (Adobe, NEC, Siemens) where he developed weakly- and webly-supervised methods, privacy-aware transfer techniques, and video summarization systems. Rameswar blends deep research rigor with applied engineering, routinely moving ideas from algorithmic innovation to robust prototypes. A detail that sets him apart is his consistent emphasis on learning under scarce supervision, making models practical in real-world, low-label regimes.
10 years of coding experience
13 years of employment as a software developer
Bachelor's degree Electrical Electronics and Communications Engineering, Bachelor's degree Electrical Electronics and Communications Engineering at Biju Patnaik University of Technology, OdishaMaster's degree Computer Engineering, Master's degree Computer Engineering at Jadavpur UniversityDoctor of Philosophy (Ph.D.) Computer Vision, Doctor of Philosophy (Ph.D.) Computer Vision at University of California, Riverside
English, Hindi, Odia
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (29)
activity-recognition7
code-intelligence7
foundation-models7
computer-vision6
action-recognition5
deep-learning5
code-generation4
natural-language-processing3
nlp-machine-learning3
contrastive-learning3
caffe3
benchmark3
text-generation3
llm3
large-language-models2
Programming languages (4)
Github contributions (5)
rpand002/rpand002.github.io
Sep 2016 - Jan 2023
Contributions:389 commits, 365 pushes, 1 branch in 6 years 5 months
IBM/AdaMML
Oct 2021 - Oct 2021
Official implementation of AdaMML. https://arxiv.org/abs/2105.05165.
Contributions:1 release, 8 commits, 9 pushes in 1 day
computer-visionmultimodal-learningdeep-learningefficient-inference
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