Mehrab Tanjim

Research Scientist II at Adobe

California, United States
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Summary

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Senior
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Mehrab Tanjim is a Research Scientist II at Adobe Research with a decade of experience bridging scalable machine learning and generative AI, and a PhD in Computer Science from UC San Diego. He leads work on automated optimization of LLM-based agents for reasoning, planning, and decision-making, and built a synthetic data generation framework to address data scarcity in model optimization and evaluation. His prior contributions include productionized query understanding and disambiguation techniques that power Adobe’s AEP AI Assistant, and research on debiasing generative models and scalable ML algorithms. Mehrab combines applied research with systems thinking—having implemented FAISS-based video fingerprinting pipelines and sketching-accelerated PCA—and maintains an active interest in trust, bias, and recommender systems.
code10 years of coding experience
job7 years of employment as a software developer
bookUniversity of California, San Diego
bookB.Sc., CSE, B.Sc., CSE at Bangladesh University of Engineering and Technology
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Stackoverflow

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Github Skills (25)

generative-model6
textual6
stylegan6
loss-functions6
generative-adversarial-network6
large-language-models5
face4
perceptual-losses4
editing3
artificial-intelligence3
pytorch3
encoder3
machine-learning3
visualization2
spark2

Programming languages (5)

C++ScalaHTMLJupyter NotebookPython

Github contributions (5)

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Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:223 pushes in 3 years 10 months
templategithub-pages-templatemmistakesmistakesjekyll
Mehrab-Tanjim/DynamicRec

Aug 2020 - Jul 2021

Contributions:18 commits, 12 pushes, 1 branch in 11 months
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