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AI Technical Expert
ML / Computer Vision Engineer at DSSL who cut fire and smoke detector false positives by ~20% without losing true positives.
Russian FederationAI Technical Expert at DSSL
Rebuilt fire and smoke detection for surveillance cameras with TensorRT optimization and multi-frame event confirmation, reducing false positives by ~20%. Deployed self-hosted Qwen model for AI coding agents and wrote internal course on agentic coding.
TensorRTOnnxPolygraphyGroundingDINOSAMCVATMLFlowPrometheusGrafanaQwenRAGLLMInference OptimizationVideo AnalyticsAuto LabellingSynthetic Data
Developed OCR pipeline for invoices mapped to customer forms in 1C accounting system. Built and launched BTC trading system with anomaly detection and ferroalloy price forecasting, plus waste-bin fill-level estimation with route optimization.
OCRRAGLLMVictoriaMetricsResumeRoute OptimizationGenetic AlgorithmsSimulated AnnealingHeuristics
Implemented customer-facing detection, multi-object and multi-camera tracking, and face recognition using YOLOv8-10, OpenMMLab, ByteTrack, and InsightFace. Optimized inference with TensorRT, ONNX, quantization, pruning, and distillation for high-load video analytics on Kafka.
YOLOv8YOLOv9YOLOv10OpenMMLabByteTrackInsightFaceTensorRTOnnxQuantizationPruningDistillationKafkaVideo Analytics
Applied CV and multimodal ML for chemistry, including OCR of 2D molecular images to SMILES, segmentation, detection, tracking, and GNN. Co-authored two Q1 papers.
OCRSegmentationDétectionTrackingsGNNMultimodal MLChemistry
Worked on style transfer and generative image models.
Neural Style TransferGenerative ModelsImage Processing
Pursuing a Bachelor of Science in Software Engineering, expected to graduate in 2027.
Pursuing a Bachelor of Science in Software Engineering, expected to graduate in 2027.
Profile sourced from Himalayas.