Hakim Ali
@hakimali1
I build and deploy edge computer-vision systems and explain advanced AI research visually.
What I'm looking for
At Motive, I own end-to-end delivery of temporal computer-vision models for safety and event detection, from data curation and architecture design through large-scale training and on-device deployment. I shipped quantization-aware object-detection models for real-time, memory- and latency-constrained edge hardware and applied reinforcement learning to improve precision.
I also founded AGI Lambda, where I code animated Python and Manim explanations of deep learning research for a 110,000+ audience across YouTube and Instagram. I cover reinforcement learning, world models, JEPA, YOLO, Vision Transformers, LSTMs, and Grad-CAM while running a global Discord community of 350+ AI researchers and practitioners.
My work spans computer vision, multimodal learning, NLP, explainable AI, and multi-agent reinforcement learning, including a top-5 SemEval-2024 result for multilingual persuasion-technique detection in memes.
Experience
Work history, roles, and key accomplishments
Owns end-to-end delivery of temporal computer-vision models for safety/event detection, including data curation, architecture design, large-scale training, evaluation, and on-device deployment. Shipped quantization-aware object-detection models that reduced model size and inference latency while maintaining accuracy, enabling real-time detection on edge hardware.
Education
Degrees, certifications, and relevant coursework
National University of Computer and Emerging Sciences (FAST-NU)
Bachelor of Science, Artificial Intelligence
2021 - 2025
Pursued a Bachelor of Science in Artificial Intelligence, focusing on machine learning, computer vision, and reinforcement learning.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
youtube.com/@AGILambdaJob categories
Skills
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