Pavel Shats has been working in IT since 2008, combining the roles of architect, technical lead, and software engineer. He designs and implements solutions ranging from server infrastructure and networking to agentic AI platforms and end-to-end business process automation. His work includes developing backend and full-stack services, configuring DevOps and MLOps processes, and ensuring information security, with a specific focus on protecting AI environments. For large-scale projects, he leverages the Profy 360 team and continues to develop his own platform, AgiSpace, which supports local, cloud, and hybrid deployments.

Reviews

There are no negative reviews. The freelancer demonstrates a high level of professionalism, responsiveness, and quality in task execution. Effective communication is particularly noted: the specialist is always available, clearly clarifies requirements even when detailed specifications are missing, and identifies potential risks during the discussion phase.

Portfolio projects

Skills and Technologies

The candidate possesses expertise in corporate AI infrastructure, process automation (RPA/AgentOps), and DevSecOps. Key competencies include the development and implementation of platforms based on AgiSpace and AgentOS, working with vector databases, hybrid search systems, and integration via the Model Context Protocol (MCP). Technical skills cover containerization, CI/CD configuration, deployment of local and cloud LLM models, as well as building fault-tolerant server clusters and network security for distributed offices.

Projects and Achievements

The candidate created the proprietary platform AI Space Pro, which unifies company knowledge, agent memory, and managed digital teams to automate business processes. Implemented systems include Repo Health Score for automated code auditing and technical debt reduction, intelligent trend analysis pipelines, and Knowledge Factory for instant search across corporate archives. In terms of infrastructure, stable operation of IT environments across 14 locations was ensured with zero downtime, along with the deployment of layered data protection systems and automation for CAD/Exocad project preparation. Interactive AI simulators were developed for employee training, resulting in reduced training costs and improved sales efficiency.

Recognition and Results

Projects demonstrate measurable outcomes: dozens of hours of manual labor saved through document workflow automation, a significant increase in digital product reliability due to early vulnerability detection, and absolute confidentiality of sensitive data within closed networks.

* 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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