Teams at Augmodo

Lead end-to-end technical deployments of spatial AI across retail partners, author and maintain program plans spanning CV, hardware, and software, coordinate logistics and on-site setup, break rollouts into metric-driven repeatable processes, and participate in system architecture trade-offs across front-end, back-end, and CV systems.

Leads advanced computer vision R&D and production engineering for real-time retail edge deployments. Designs and optimizes deep learning, computer vision, and vision-language models; validates algorithms through evidence-based analysis; and deploys high-throughput, low-latency ML pipelines. Responsibilities include TensorRT and CUDA optimization, Docker-based cloud and embedded deployment, image registration and warping, and translating fundamental research into production-grade systems while providing technical leadership.

Build end-to-end front-end tooling and active-learning agents for a spatial CV platform. Train and deploy lightweight CV models, create pre-labeling and annotation systems, design planogram and spatial interfaces, and iterate rapidly to deliver intuitive visual workflows for researchers and non-technical users.