Position: Tech Lead / Senior Computer Vision Engineer, Deep Learning Engineer, Data Scientist
Category: Data Science
English level: fluent
Years of experience: 5

I have created the best on the market depth estimation model.
I developed an efficient parallel batch-based computer vision pipeline (Python DeepStream analog) that was adapted to many tasks.
I wrote DL training library extension based on PyTorch Lightning and Hydra which was used for all projects in my current company.
My team got a new state-of-the-art solution in the field of anomaly detection on video surveillance.
I have developed a lot of the models that are successfully deployed and working right now.
Experienced and skilled Tech Lead / Senior Deep Learning Engineer with experience in Computer Vision, including object detection, segmentation, depth & disparity estimating, 3D, temporal consistency, face recognition, image, and video classification tasks. I have tech-led teams of up to 3 people (hiring, mentoring, project planning, and support) and have experience in building ML projects from scratch. 
I have deployed models with APIs, on the devices and on the local servers of the clients, using Python, Dart, and C++ languages. Deploying on the local servers included developing of CV batch-based parallel production system (my DeepStream analog). 
I have experience in many MLOps tasks, including automation of models training & tracking, CI/CD (for ML including); I wrote a DL training library extension based on PyTorch Lightning and Hydra which was used for all projects in my current company. I am proficient in optimizing models using TensorRT/SNPE(Qualcomm optimization library).

2021 - Present, Senior Computer Vision & ML Engineer - leading 3D devices & services company.
I am tech leading a team of 3 people and my responsibilities include training and validating models for depth estimation, depth refinement, and subtitles detection; solving temporal consistency and multiview image generation tasks; building CI/CD and creating libraries + infrastructure for models training & tracking. We deploy models on the devices and with APIs.
We created the best on the market depth estimation method and currently are preparing a paper.

2020 - 2021, Computer Vision Engineer - industrial safety project.
My responsibilities included training and validating models for detection, tracking, segmentation, and classification tasks; combining both deep learning models and classical computer vision algorithms for anomaly detection and other tasks; optimization of models performance; deploying the models. I have developed Python DeepStream analog which had maximum efficiency and was integrated for all our projects.

2019 - 2020, Deep Learning Engineer (Computer Vision) - industrial safety project.
I solved the next tasks: human detection and classification, face detection, face recognition, recognition if there are special glasses on a person’s face, and event classification via detection + tracking. More in CV

2018 - 2019, Data Scientist - outsource research projects. 
More in CV

I received a Bachelor’s and Master’s degree at the Institute for Applied System Analysis, KPI.
Looking for an opportunity to join a team of professionals to deliver results with the best quality. I always want to improve my managing and technical skills.