Konstantin Maslennikov helps businesses automate routine processes, increase conversion rates, and reduce personnel costs. He creates business bots and IT systems that save dozens of hours each week and can replace employees without compromising quality. The work is carried out without the need for constant oversight from the client.
Konstantin Maslennikov is a professional and responsive specialist who delivers tasks with high quality, on time, or even ahead of schedule. Client reviews confirm his high level of competence, ability to work with vague technical requirements, suggest useful improvements, and respond promptly to feedback. All projects have been successfully completed without disruptions, featuring good communication and clear explanations. No negative reviews have been identified.
Skills and Technologies: AI system development, chatbots, API integrations, business process automation, neural networks, RPA, data processing, Telegram bots, Python, CRM, ERP.
Projects and Achievements: The candidate developed a multi-agent system for monitoring competitor prices, enabling the company to obtain up-to-date market data without manual searching. He implemented chatbots for visa centers and businesses, significantly simplifying the client appointment process and increasing application processing speed. He created an AI system for qualifying incoming requests in real estate agencies, resulting in an 18% increase in closures. He successfully executed integrations between banks and cryptocurrency exchanges, ensuring automated transaction and asset control.
Achievements and Recognition: The candidate automated routine operations in accounting using RPA, freeing up employee time for more important tasks. The implementation of AI assistants for customer and employee support significantly enhanced work efficiency and reduced staff workload. The development of an automatic news collection system for a Telegram channel ensured a constant flow of relevant information without manual effort. The candidate received positive feedback for successfully completing over 30 projects, including the integration of marketplaces with ERP and CRM systems, which improved data management and reduced the risk of errors.
* It is created by a neural network based on a portfolio, information provided by the user about himself and reviews from other users.