Evgeny Bil is a full-stack developer and architect of private AI systems, specializing in creating applications that utilize local inference. He implements autonomous solutions based on his own infrastructure, ensuring complete data privacy and a rejection of cloud APIs. His practice includes working with large open-weight models, such as Qwen 3.6/3.8, on powerful GPU configurations capable of running models with up to 35 billion parameters. He utilizes ComfyUI for scalable generative workflows, develops REST APIs in PHP and JavaScript, and creates his own MCP servers, voice assistants, and AI skills. He offers comprehensive solutions ranging from hardware setup to the integration of AI into existing systems.

Reviews

Evgeny Bil is generally a highly skilled and responsible performer who consistently meets deadlines, demonstrating professionalism, promptness, and a willingness to collaborate. Most reviews highlight his quick response time, quality of work, ability to find solutions to complex problems, and friendly attitude towards clients.

However, there is one significant negative review: the client "Studio 'OLL'" points out that after agreeing to a task with a tight deadline, the performer disappeared and did not answer calls, only responding two days later to decline the task. Evgeny explained that he did not confirm the acceptance of the order and was automatically selected by the system, but he did not communicate this in advance, which resulted in a loss of time for the client.

**Final brief review:**
A professional and reliable performer with a high level of positive feedback, but there is a risk of misunderstanding during automatic task assignments — in such cases, he may not respond to communication despite the lack of official order confirmation.

Portfolio projects

Skills and Technologies: Development of voice AI bots, process automation, CRM and telephony integration, Python, LLM, Docker, WordPress, WooCommerce, Laravel, DevOps, performance optimization, refactoring, UI/UX design.

Projects and Achievements: The candidate developed and implemented a voice AI bot for automating cold calling in the real estate sector, which reduced costs for client contact and improved service quality. In creating an AI agent to emulate users, he designed an architecture that ensures a high degree of session isolation and anti-fingerprinting. The candidate also developed a multilingual B2B/B2C platform for coffee delivery, incorporating complex business logic and integration with payment systems. As a result of optimizing websites, performance was significantly improved, enhancing SEO metrics and user experience.

Achievements and Recognition: The candidate achieved a significant increase in website loading speeds to over 90 points on Google PageSpeed Insights and successfully restored and secured websites after attacks. His projects received positive feedback from clients for high-quality execution and attention to detail, confirming his professionalism in web development and automation.

* 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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