Volodymyr – Python, Flask, Django

London-based SaaS company that provides an information management platform to help organisations aggregate, filter, and deliver tailored content and insights efficiently. Its products (like Vable InfoPro, Vable Inbox, and MyVable) are used by legal teams, knowledge managers, and research professionals to streamline current awareness, reduce information overload, and support strategic decision-making.

• Led the critical migration of existing services from Python 2 to Python 3 across a large-scale system with 50+ microservices, ensuring continuity and modern language support;
• Developed and maintained robust Python-based services for web scraping and data ingestion from websites and RSS resources using a stack including Scrapy, Twisted, and Flask/klein;
• Built AI-powered features using the OpenAI API, including intelligent chatbots, AI assistants, and automated decision-making workflows focused on production usability and performance;
• Implemented Retrieval-Augmented Generation (RAG) pipelines for knowledge-based applications, enabling context-aware responses over custom datasets;
• Developed LLM-powered automation pipelines to streamline data processing, reporting, and workflow orchestration within the existing microservice infrastructure;
• Extended AWS footprint to include SageMaker, S3, and Athena for AI/data workloads; integrated Hugging Face models for custom inference pipelines alongside backend systems;
• Maintained and improved production services serving active customers, prioritizing system reliability, backward compatibility, and minimal disruption to existing workflows;
• Built and maintained sync layers between internal services and third-party APIs, ensuring data consistency and fault tolerance across distributed systems;
• Delivered bug fixes and incremental improvements to live systems independently, collaborating asynchronously with distributed teams and reporting directly to technical leads with minimal supervision.

Modern in-vehicle infotainment softwarevsystem for an automotive customer in Germany. System included offline/online navigation, intuitive voice-controlled human-machine interface (HMI), and integration with cloud services and vehicle hardware to enhance real-time navigation and overall user experience.

• Developed responsive and modern user interfaces for automotive Instrument Clusters and In-Vehicle Infotainment (IVI) systems using Qt/QML and C/C++;
• Optimized key general layout components to improve rendering performance and enhance the overall usability and responsiveness of the system;
• Tested and Presented real cases scenarios on Cusstomer Review sessions

Global leader in telecommunications technology, delivering network infrastructure, software, and digital services that power mobile connectivity worldwide. The company develops solutions across 4G/5G networks, cloud platforms, and network automation, supported by extensive technical documentation and R&D centers, including engineering teams in Ukraine.

• Automated software deployment by performing downloads onto Basic Mobile Stations (BSC), significantly streamlining the setup and configuration process;
• Processed and analyzed large volumes of data using Python scripts to support system operations and performance monitoring;
• Conducted rigorous testing and upgrading of core base functionality blocks to ensure stability and improve overall system capabilities and feature set.