Research Depth ✕ Industry Speed
Neurophin's team comes from AI and electrical engineering, trained to the doctoral and master's level, with expertise across computer vision, signal processing and deep-learning model design.
More than a pretty score on offline data, we care whether a model holds up on your production line, in your hospital systems, on your field network. So the team deliberately keeps two abilities side by side: the research skill to design algorithms from scratch, and the engineering skill to ship models into real environments — and keep them running there.
In most projects the real difficulty is never choosing a model. It is dirty data, insufficient labels, and field conditions far from what papers assume. That is exactly the territory we know best.
Shipping an AI project takes more than a model. We keep algorithms, engineering and design in one team — every member trained to the master's level or above, with real delivery experience.
Senior Backend Engineer
High-concurrency system architecture and cloud deployment (GCP/AWS), keeping AI models running reliably.
Algorithm Scientist
Focused on the latest Transformer architectures and generative models — core model training and optimization.
Interface Designer
Turning complex data into intuitive visual experiences and future-ready dashboards.
Uncertain things get tested at minimal cost first. If a PoC fails, we say so honestly instead of dragging the project on.
We deliver more than accuracy numbers — we deliver the reasoning behind the model's judgments.
Client data is handled under the minimum-necessary principle; training and inference can run entirely inside your network.
AI systems degrade as environments change. Monitoring and retraining keep them performing.
We are always looking for people passionate about computer vision, generative AI or systems engineering — and we welcome academic researchers for collaboration and technology licensing. See the careers page for open positions; we personally read every message.
info@neurophin.com
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