Lead cRM/Retention-менеджер

#CV #resume #ml #ai #computer_vision Hi everyone! I’m Georgy Gunkin - Lead ML/CV Engineer **(5+ years)** building production, real-time computer vision systems end-to-end: problem framing, data strategy, training, GPU inference optimization, deployment, and production monitoring. Performance-first mindset (NVIDIA Nsight Systems/Compute), reliability-first operations (metrics, monitoring, reproducibility). Core strengths • End-to-end ownership of ML/CV systems in production (from data + training to rollout + monitoring) • Real-time performance engineering: multithreaded/asynchronous pipelines, profiling, GPU-accelerated inference (**TensorRT **/** ONNX Runtime **/ **CUDA**) • Production engineering: **Rust** / **C++** / **Python** / **C#**, **Docker/Linux**; microservices and monoliths • Leadership: led ML subsystem development and managed a team of 3 ML engineers Selected production highlights • Diffusion-based clothing try-on: optimized pipeline for speed/quality, achieving **420%** speedup over baseline; built end-to-end LoRA training and model distillation pipelines • Lipstick virtual try-on: designed and implemented a service handling **1,000+ RPM**, now serving 100% of sellers on the platform • Produce inspection conveyor: **2** industrial cameras (**4096x3000** @ **23.5 FPS**), detection/segmentation + defect pipeline, track-level decisions, stable at full conveyor load • Retail theft-risk analytics: distributed services (detection/segmentation/pose + multi-camera tracking/ReID + action recognition), **40** **1920x1080** streams at **6 FPS** with low latency • NDT for metal products: **4** cameras (**2448x2048** @ **79 FPS**), **14** product types / **9** defect classes, active-learning data loop + operator GUI I’m currently exploring Senior/Lead opportunities where I can own the end-to-end lifecycle of ML/CV systems - from problem framing and data strategy to GPU-optimized deployment and production monitoring. Open to Senior/Lead ML/CV roles (CV Tech Lead / real-time video analytics / inference & performance engineering). Languages: English (fluent), Russian (native) **Full CV: **https://drive.google.com/file/d/1sfEuFrp3o8ZiNiUdufRvFjzwVAISfgIN/view?usp=sharing **Contacts** https://www.linkedin.com/in/ggunkin/ https://t.me/ggunkin [email protected]