Gunjan Dhanuka
AI Research Scientist at Mistral AI · Multimodal models
Hello, I’m Gunjan.
I’m an AI Research Scientist at Mistral AI, working on multimodal models. My current work spans OCR and document understanding, as well as computer-use capabilities. I was a core member of the team behind Mistral OCR 4 and Mistral OCR 4.1, state-of-the-art OCR models for document intelligence. I care about making models genuinely helpful with everyday tasks: understanding documents, navigating interfaces, and turning human intent into useful actions.
I completed an MS in Computer Science at Carnegie Mellon University and a B.Tech. in Computer Science and Engineering at IIT Guwahati. At CMU, I worked on compression-based methods for LLMs and memorization in diffusion models with Zico Kolter and Pratyush Maini, and on model debiasing with Fernando de la Torre and Shayok Chakraborty. Before that, I interned as an ML Engineer at Apple and as a Software Engineer at Rubrik.
I enjoy turning fuzzy problems into concrete experiments, building the infrastructure to test them, and writing down what I learn along the way. My work on weakly supervised video anomaly detection was accepted to WACV 2025; recent work on compression-based memorization in diffusion models was accepted to the ICML MemFM Workshop 2025.
Outside of work, I’m usually taking photos, planning a trip, playing a game, or watching an improbably specific engineering video on YouTube. I’m also starting to collect trail notes and trip reports.
Beyond the screen
The things that keep my curiosity well-fed.
Some problems are best solved at a desk. The rest tend to get better after a long hike, a close football match, a beautifully designed game, or an unnecessarily deep coding rabbit hole.
What I care about
Useful intelligence needs more than a good benchmark.
01
Document understanding
Building multimodal models that can make sense of documents beyond plain text: their structure, context, and visual information.
02
Computer use
Helping models understand interfaces and take useful steps through the tools people already use every day.
03
Everyday usefulness
Making capable models feel practical and intuitive—useful for real work, not just impressive on a benchmark.
Start here: browse research for publications, learning notes for an evolving technical garden, writing for long-form notes, travels for trail notes, or the now page for a concise snapshot.
latest posts
| Feb 22, 2025 | So you got accepted...now what?? |
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| Dec 10, 2024 | First Semester at CMU! |
| Jun 30, 2024 | Everything you need to know about IIT Guwahati CSE |
selected publications
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- Dynamic Mitigation of Hardware Trojan Induced Black Hole Router Attack in Network-on-ChipIn 2025 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2025