Ahmad Mustafa Anis
AI researcher at Carnegie Mellon University studying self-supervised learning and computer vision with Michael Tarr.
About
Building visual systems that learn from unlabeled data.
I'm an M.S. student in AI Engineering at CMU. Previously, I built computer-vision systems at Roll.ai, completed the Fatima Fellowship, and earned my B.S. in Computer Science from IIUI in Islamabad.
I also led Cohere Labs' Asia community and hosted 85+ research sessions.
Research
Self-supervised learning
Robust visual representations that transfer across tasks and domains.
World models
Models that understand environments, plan actions, and predict outcomes.
News
Invited to review for EvalEval at ACL.
Invited to review for Med Reasoner at CVPR 2026.
Organized the Cohere Labs ML Summer School.
I have also given talks on computer vision and hosted 85+ research sessions for the Cohere Labs community.
Earlier highlights
Completed the Fatima Fellowship, advised by Dr. Wei Peng.
Reviewed for ACL ARR.
Our vision-language model study was accepted at the CVPR 2025 Computer Vision in the Wild workshop.
Our multimodal data provenance work was accepted at ICLR 2025.
Joined the Fatima Fellowship as a Pre-Doctoral AI Research Fellow.
Our AI data commons study was accepted at NeurIPS 2024.
Became NLP Lead for the Bytewise Fellowship.
Selected for the Oxford Machine Learning Summer School.
Joined Roll.ai as a Deep Learning Computer Vision Engineer.
Selected for the PI School of AI with a €12,500 scholarship.
Became ML-Maths Community Lead at Cohere Labs.
Served as Urdu Language Ambassador for Aya, contributing three datasets.
Became Data Science Lead for the Bytewise Fellowship.
Became Asian Community Lead at Cohere Labs.
Graduated from IIUI with a B.S. in Computer Science.
Joined Redbuffer.ai as a Machine Learning Engineer.
Joined Wortel.ai as a Software Engineer.
Joined Wortel.ai as a Deep Learning and Computer Vision Intern.
Began undergraduate studies in Computer Science at IIUI.