Ivan Trushkov resume

Ivan Trushkov is a Prompt Engineer and Vibe-Coder with a strong management background and deep expertise in business processes. Over 10 years of experience in management and building operational systems, he has implemented end-to-end accounting and automation in three major companies. His work involved process diagnostics, data model design, integrations, regulations, metrics, and quality control. Ivan specializes in applied AI, developing RAG architectures, neural employees, advanced chatbots, and task chain automation through n8n/Albato, often using Telegram as a frontend. He excels at translating requests into clear architectural solutions, bringing them to production with monitoring and quality control.

Reviews

Ivan Trushkov has established himself as a reliable and responsible client. Reviews highlight his clear and well-structured project requirements, quick feedback, timely payments, and friendly communication. Freelancers consistently note the pleasant collaboration and express their willingness to work with him again in the future. No negative feedback or remarks have been identified.

Portfolio projects

Skills and Technologies: Algorithmic generation, document processing, artificial intelligence, Google AI Studio, Google Gemini AI, OpenAI, GigaChat, RBAC, web development, Telegram bots.

Projects and Achievements: Ivan has developed several innovative tools, including SheetMetalGen AI, which automates the creation of DXF and PDF drawings for facade panels, significantly speeding up documentation preparation and reducing the risk of errors. Atlas AI, a corporate AI assistant, enhances access to company information by providing quick and accurate answers based on internal documents. GenPresent AI helps businesses and teams quickly create high-quality presentations, saving time and standardizing the format.

Achievements and Recognition: Ivan's projects demonstrate significant improvements in task speed and quality, such as faster production launches, improved response quality, and reduced errors in operational activities. These tools contribute to the standardization and simplification of processes, as evidenced by their successful integration into users' workflows.

* 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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