Startup software company specifying on generating digital driving scenarios for autonomous driving vehicles. - Object detection and tracking from video sources - Building data processing pipeline. Preprocessing, cleaning of trajectory data - Integrated open formats like OpenScenario, XODR - Implemented map, scenario edit tools - Road markup tool - YOLO, OpenCV

- Built custom business analytics dashboards using Dash and Plotly, increased loading speed 10 times and enabling real-time data insights - Implemented a data synchronization pipeline between PostgreSQL and ClickHouse, reducing production database load by 17%. - Resolved client and internal team issues related to delivery zone mapping, order mispricing, and data reporting, ensuring smooth and uninterrupted operations - Led optimization of courier and warehouse pricing setup and cross-department coordination with accounting, resolving uncharged orders and invoices, and cutting negative cost variance

-Scaled export data reports to handle up to 1M rows and improved generation speed, streamlining clients’ accounting workflows - Integrated 7 new warehouses and couriers via REST API, SOAP, and GraphQL, enabling clients’ expansion across Europe, North America, and Australia - Enhanced system observability by implementing Metabase-based alerts and performance metrics, enabling early bug detection before client impact - Developed and deployed solutions for accurate parcel delivery address identification across multiple couriers, reducing invoice disputes by 12% and improving supplier cost predictability by 25% - Built interactive business intelligence dashboards in Metabase visualizing key performance indicators, enabling real-time monitoring of 25+ SLAs and significantly improving business transparency

Architecture/construction processes automation. Defining business problem in terms of math model, design cost function. Optimized formed problem. Implemented algorithms for architectural design solutions based on graph algorithms, evolutionary generative algorithms, machine learning. (tests, Flask API, SQL, Graphs, Jenetics, GIT)

Industrial data cleaning, transforming. Preparing analytical reports. Developing statistical and ML algorithms to solve anomaly detection problems. LSTM R(plotly, dplyr, ggplot), Python (Keras)

Freelance project. Extraction of data from invoice documents(pictures). Image preprocessing: denoisening, erosion and dilation, text lines/blocks segmentation. Python, TensorFlow, Keras, Tesseract OCR

Prototyping of wireless ad-hoc modules on 2.4 and 5 GHz based on Raspberry PI, Orange PI PCs to construct mobile, agile mesh being able to transmit video signal