Pavel S.

Network Inventory Platform: Led a team of engineers in end-to-end development of a network inventory management application. Drove product, design and architectural decisions, translated business needs into technical requirements, and owned full-stack implementation. Set up CI/CD pipelines and facilitated SCRUM ceremonies.

AI Risk Analysis System: Designed and deployed an agent-based AI system using planner–executor–critic architecture and RAG pipelines to automate company risk analysis from financial reports. Implemented secure tool integration via MCP, vector embeddings, and databases.

Warehouse Automation Device: Owned the full technical scope - from selecting hardware components and 3D camera technology to designing the software architecture and implementing the computer vision pipeline for real-time dimension and weight measurement of objects, improving warehouse logistics processes.

ID Card Recognition Service: Back-end development of an AI service for automatic detection of ID cards and OCR data parsing using a smartphone camera.

EV Energy Simulation: Full-stack development of a platform to support simulating electric vehicles energy consumption. Integration of the Google Earth Engine API and data analysis on weather data.

Web Scraping System: Designed and deployed a parallel orchestrated web scraping system for automated data collection across multiple sources.

AI File processing: Development of an AI solution for processing and analyzing unstructured data

from files, enabling efficient search, matching, and insight generation.

Root Cause Analysis for manufactuing: Built and deployed microservices based solution to automate

root cause analysis in industrial manufacturing, replacing manual processes with mathematical models

to significantly speed up fault detection and diagnostics.

File-Sharing Analytics Platform: Implemented a secure file-sharing solution with strict access controls, ensuring

sensitive data on shared drives was only accessible to authorized users.

Scoring Engine & Internal Tools: Developed and maintained internal tools and a scoring engine to support risk assessment and anti-money laundering (AML) processes, improving decision-making efficiency and accuracy.

PSD2 Integration: Integrated third-party services for analyzing credit bureau data and banking transactions under PSD2, strengthening risk evaluation and AML capabilities.