Ahmed Rashid Qazi
AI Engineer
I work across AI research and production engineering. My focus spans computer vision, multimodal systems, health-tech AI, and building ML infrastructure that ships.
I'm a hands-on AI engineer who builds and ships production systems. From training and fine-tuning models to designing scalable ML pipelines and serving infrastructure, I focus on turning ideas into deployed products that work at scale. I've built multimodal AI for healthcare, generative models for e-commerce, real-time computer vision systems, and end-to-end ML platforms. On the research side, I've published at venues like CVPR, NeurIPS, AAAI, and Neuron. I care about clean architecture, reliable deployments, and solving real problems with practical engineering.
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2018–2022
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2017
- Architecting and shipping end-to-end AI products from prototype to production deployment.
- Leading technical design of ML pipelines and model serving infrastructure at scale.
- Led health-tech AI research, building multimodal neuroAI systems for research applications.
- Developed scalable data pipelines and model training infrastructure for medical imaging.
- Published research at CVPR, NeurIPS, AAAI, and Neuron (Cell Press).
- Operationalised the Rothermel model enhanced with NASA Earth data and field readings for live decision support.
- Assisted Bachelor’s students on ML applications, supporting them in their thesis projects
- Built a virtual try-on MVP for South Asian fashion using generative models.
- Designed the model pipeline from data collection to deployment for real-time garment transfer.
An enhancer-AAV toolbox to target and manipulate distinct interneuron subtypes
Neuron (Cell Press) 113(10), 1525–1547 · Journal Cover
Mice to Machines: Neural Representations from Visual Cortex for Domain Generalization
NeurIPS 2025, UniReps, PMLR 322:57–69
Neural Attention Maps Alignment in Vision Transformers and Mammalian Visual Cortex
AAAI 2026, Neuro for AI & AI for Neuro
ExerAIde: AI-assisted Multimodal Diagnosis for Enhanced Sports Performance and Personalised Rehabilitation
CVPR 2024, CVsports, pp. 3430–3438
AnimalFormer: Multimodal Vision Framework for Precision Livestock Farming
CVPR 2024, Vision4Ag, pp. 7973–7982
I'm a bit of an alpine nerd at heart, chasing summits, quiet lakes, and the occasional trip that reminds me how small (and big) the world can feel.
I'm always open to discussing new projects, engineering challenges, or research collaborations. The best way to reach me is by email.