Anjishnu Mukherjee
Graduate Research Assistant
Virginia, United States
Summary
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Rockstar🎓
Top SchoolAnjishnu Mukherjee is a PhD candidate in Computer Science at George Mason University focused on multilingual, multimodal, and multicultural bias evaluation and mitigation in large language models, combining rigorous research with practical LLM engineering. He has seven years of experience bridging academia and industry, including multiple Applied Scientist internships at Amazon where he built LLM-driven explainability and product-return prediction systems. His work spans LLM pre-training, instruction-tuning, prompt engineering, multimodal vision models, and deploying solutions on AWS, and he contributes to open source—adding core loss functionality to the widely used mlpack library. With seven publications at top venues (EMNLP, NAACL, AIES) and roles as invited speaker and outstanding reviewer/GTA awardee, he pairs strong publication impact with teaching and mentorship. Anjishnu’s research niche — evaluating cultural rather than just demographic bias across languages and modalities — positions him to advance more inclusive AI systems across global contexts. He is actively seeking collaborations on responsible AI and multilingual model robustness.
7 years of coding experience
4 years of employment as a software developer
Bachelor of Technology, Computer Science, 9.63/10, Bachelor of Technology, Computer Science, 9.63/10 at Indian Institute of Engineering Science and Technology (IIEST), ShibpurDoctor of Philosophy - PhD, Computer Science, 3.9/4, Doctor of Philosophy - PhD, Computer Science, 3.9/4 at George Mason University
Hindi, Bengali, English
Stackoverflow
111reputation
18kreached
0answers
7questions
Github Skills (15)
machine-learning10
c-language10
cpp10
cprogramming-language10
cplus10
machine-learning-models10
deep-learning9
bresenham6
confusion-matrix6
pytorch6
ellipse6
abstract-class6
auc6
binary-tree6
binary-search-tree6
Programming languages (8)
Github contributions (5)
mlpack/mlpack
Mar 2020 - Oct 2020
mlpack: a fast, header-only C++ machine learning library
Role in this project:
ML Engineer
ML EngineerContributions:22 reviews, 76 commits, 14 PRs in 6 months
Contributions summary:Anjishnu contributed to the development of the MultiLabelSoftMarginLoss function, including its forward and backward passes. This likely involved implementing the loss function's core logic and ensuring its proper integration within the mlpack framework. The user also addressed style and indentation issues within the source code.
regressionheaderdeep-learningscientific-computingc-plus-plus
iamshnoo/UDACITY-CVND-P2---Image-Captioning
Mar 2019 - Nov 2020
Uses a CNN Encoder and a RNN Decoder to generate captions for input images.
Contributions:17 commits, 2 PRs, 15 pushes in 1 year 7 months
rnndeep-learningcomputer-visiondecoderencoder
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