Daniil Komov
Computer Vision Lead
Sources checkedLead Computer Vision & Machine Learning Engineer at SentiSight.ai and Neurotechnology. Specializes in deep learning object recognition, automated image annotation platforms, and deploying edge AI models across industrial automation.
Areas of focus
Professional niches
Proof of Work
Web-Based Deep Learning Model Training and Annotation Platform
Architected a cloud-based platform enabling non-technical users to annotate images with bounding boxes, polygons, and keypoints, and train custom classification, object detection, and OCR models with one click.
Training speed depends on GPU cluster queue availability during peak multi-user training workloads.
Context: PyTorch, ONNX Runtime, WebSockets for live training metrics, automated augmentations.
View missionHigh-Speed Optical Character Recognition and Table Extraction Engine
Developed an end-to-end OCR and table structure recognition engine capable of processing warped or skewed scans at under 100ms per page with 98.7% character accuracy across Latin and Cyrillic scripts.
Heavily degraded handwritten documents require specialized handwriting transformer (HTR) checkpoints.
Context: Convolutional recurrent neural network (CRNN) with CTC loss, line segmentation heuristics.
View mission