Siddhartha Gairola
Doctoral Researcher at ELLIS - European Laboratory for Learning and Intelligent Systems
Saarbrücken, Saarland, Germany
Summary
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Senior🎓
Top SchoolSiddhartha Gairola is a doctoral researcher at MPI-INF and ELLIS with a decade of experience building and evaluating robust, interpretable deep learning models for computer vision and medical imaging. His work spans academic and industry research—Microsoft Research and Adobe—where he shipped state-of-the-art few-shot segmentation, smartphone-based diagnostic systems, and low-cost corneal topographers published at venues like IJCAI, IMWUT and EMBC. He combines practical systems skills (C/C++ contributions fixing memory and stability issues in projects like CCExtractor) with theory-driven PhD research on DNN interpretability and robustness under advisors at MPI-INF and IST-Austria. Comfortable moving between prototype hardware, clinical collaborations, and causal/robustness research, Siddhartha brings a rare blend of hands-on engineering and rigorous scientific inquiry to image-centric ML problems.
10 years of coding experience
3 years of employment as a software developer
Secondary (‘11), Senior Secondary (‘13), Secondary (‘11), Senior Secondary (‘13) at St. Joseph's Academy, DehradunMaster of Science (MS) by Research, Computer Science, Master of Science (MS) by Research, Computer Science at International Institute of Information Technology Hyderabad (IIITH)Doctor of Philosophy - PhD, Computer Vision, Doctor of Philosophy - PhD, Computer Vision at Universität des Saarlandes
English, Hindi, German
Stackoverflow
101reputation
8kreached
0answers
7questions
Github Skills (13)
c1710
memory-management10
debug10
c1110
subtitle9
360-video8
rust7
camera6
deep-learning6
android-camera6
image-segmentation6
android6
deeplab6
Programming languages (8)
Github contributions (5)
CCExtractor/ccextractor
Jan 2017 - Feb 2017
CCExtractor - Official version maintained by the core team
Role in this project:
Back-end Developer
Back-end DeveloperContributions:9 commits, 11 PRs, 8 comments in 1 month
Contributions summary:Siddhartha primarily focused on fixing memory leaks and other defects within the codebase, as evidenced by numerous code changes across multiple files. Their contributions involved addressing issues related to double-freeing of memory, correcting resource management in various modules, and improving code stability. They also updated existing code to incorporate fixes and improve general functionality. The user's work touched upon multiple core files.
ccextractorimagepythonrustteam-core
sidgairo18/unsupervised-style-learning
Nov 2019 - May 2021
Contributions:7 commits, 6 pushes, 1 branch in 1 year 7 months
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