Vladimir Lunev assists businesses in automating specific processes such as handling applications, documents, spreadsheets, and internal data. He focuses on implementing practical solutions with clear acceptance criteria rather than on demonstrations or prompts. His experience in managing retail networks and entrepreneurial activities since 2021 shapes his approach to real business challenges, emphasizing responsibility, deadlines, quality control, and data management. In his practice, he utilizes AI tools and collaborates with a team to develop prototypes, which he tests against pre-agreed scenarios. He operates through official channels, with phased payments and contracts, preferring to start with limited tasks where the results can be assessed.

Reviews

All reviews are positive, highlighting the clarity of tasks, quick and seamless work, as well as high satisfaction with the interaction. There are no negative comments.

Portfolio projects

Skills and Technologies: AI, data processing, synthetic data, Excel, JSON, testing, diagnostics, risk analysis.

Projects and Achievements: The candidate developed and tested three demonstration AI projects, including reliability assessment for RAG, qualification of B2B applications, and document processing from Excel/PDF. In the RAG project, 63 tests were conducted, with 36 tests passing successfully, allowing for the identification of critical defects and improvement of response accuracy. In the B2B application qualification project, 50 applications were processed, with 20 directed to the sales queue and 26 handed over to a human for further processing. In the document processing project from Excel/PDF, 16 applications were successfully processed, with 11 entries ready for use, confirming the effectiveness of the proposed approach.

Achievements and Recognition: The candidate demonstrated the ability to identify and analyze risks in AI systems, as well as to develop effective solutions for data processing and qualification. The project results provided clear outputs and documentation, facilitating the further development and implementation of AI technologies in business processes.

* It is created by a neural network based on a portfolio, information provided by the user about himself and reviews from other users.

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