Arnab Mondal
Machine Learning Researcher at Apple
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolArnab Mondal is a machine learning researcher with a decade of experience focused on video foundation models, vision-language post-training, and efficient sequence modeling. He is currently at Apple in Sunnyvale after a PhD candidacy at McGill/Mila, and has held research internships and visiting roles at ServiceNow, Microsoft, Huawei, and Apple where he pushed advances in long-range dynamics, multimodal video-language representation, and distillation of large GPTs into compact state-based models. His work spans both theoretical algorithm design and practical system-building for video search, temporal localization, model-based RL, and language modeling, often producing novel algorithms that improve control and retrieval tasks. Comfortable moving between industry labs and academia, he pairs rigorous PhD research with hands-on engineering to ship prototypes and scalable models. An under-the-radar strength is his cross-domain fluency—applying PDE-based numerical methods from optics to inform novel computational approaches in ML during earlier internships.
10 years of coding experience
4 years of employment as a software developer
Bachelor and Master of Technology (Dual degree) Electronics and Electrical Communication Engineering, Bachelor and Master of Technology (Dual degree) Electronics and Electrical Communication Engineering at Indian Institute of Technology, KharagpurDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at McGill University
English, Hindi, Bengali, French
Github Skills (20)
convolutional-neural-networks10
semi-supervised-learning10
generative10
image-segmentation10
segmentation10
adversarial-learning10
medical-image-analysis10
few-shot-learning10
medical10
tensorflow9
medical-image-segmentation9
computer-vision9
deep-learning8
machine-learning5
geometric-deep-learning4
Programming languages (3)
Github contributions (5)
arnab39/arnab39.github.io
Jan 2021 - Feb 2025
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:56 pushes in 4 years 2 months
templategithub-pages-templatemmistakesmistakesjekyll
arnab39/FewShot_GAN-Unet3D
Jul 2018 - Oct 2020
Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
Contributions:35 commits, 2 PRs, 25 pushes in 2 years 3 months
adversarial-learningmedical-imageimage-segmentationadversarialmedical-image-segmentation
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