Ruslan Gromov — AI Solutions Architect and Business Trainer

Professional profile

Ruslan GROMOV

AI Solutions Architect · Artificial Intelligence Expert · Business Trainer and Learning Methodologist

I design and deliver complex solutions based on LLMs, RAG, AI agents and multi-agent systems. I translate business requirements into technical architecture, an implementation plan and measurable success criteria — from the initial hypothesis through integration and production operations.

For more than 10 years, I have trained internal and external teams. I explain complex technology to business owners, executives and specialists in terms of objectives, economic impact, timelines and risks while retaining the necessary technical depth.

Phone E-mail Telegram: @Ruslan_Gromov
20+ years
business process automation and technology projects
7+ years
AI, machine learning, neural networks and generative models
10+ years
training internal and external teams
1,000+
participants in in-person programmes over the past two years
01

Core expertise

I approach every solution as a complete system: business objective, data, models, integrations, people and operating rules.

Artificial intelligence and solution architecture

  • Solution architecture based on LLMs, RAG, AI agents and multi-agent approaches.
  • Development of applied AI services, intelligent assistants and end-to-end automated workflows.
  • Technical concept development, prototyping and delivery support from idea to implementation.
  • Assessment of data quality, economic impact, information security and operational risks.
  • Design of enterprise AI adoption frameworks, from pilot projects to scaled operational practice.

Automation, data and business alignment

  • Business process analysis and re-engineering; application, integration and data architecture.
  • Data engineering: preparation, transformation and orchestration of data flows.
  • Translation of business requirements into architecture, delivery plans and measurable success criteria.
  • Technical leadership, solution reviews, risk identification and team development.
02

Professional experience

More than 20 years in automation and technology projects, including over seven years of hands-on work with artificial intelligence.

7+ yearsCurrent specialisation

AI Expert · Solutions Architect

  • Identification of viable AI use cases and design of solutions aligned with business processes and constraints.
  • Architecture design using LLMs, RAG, AI agents and multi-agent systems.
  • Integration of models, enterprise knowledge, tools and data sources.
  • Support for prototypes through to an operational result and definition of production operating rules.
20+ yearsTechnology experience

Software Developer · Team Lead · Data Engineer · Architect

  • Development and implementation of business automation systems.
  • Technical leadership and coordination of project delivery teams.
  • Architecture of applications, integrations, data platforms and end-to-end processes.
  • Collaboration with business stakeholders and management of technical decisions throughout the project lifecycle.
03

Business Trainer and Methodologist

Corporate learning grounded in real engineering practice and the actual challenges faced by participants.

30+in-person AI workshops delivered over the past two years
up to 80participants — experience with audiences of different sizes
  • Learning needs analysis and audit of the team's real operational challenges.
  • Translation of business objectives and departmental KPIs into measurable learning outcomes.
  • End-to-end programme design: modules, cases, workshops, simulations and AI training tools.
  • Practice-based learning using real tasks and producing an applicable tool during the programme.
  • Development of materials for learning management systems, corporate knowledge bases and self-directed practice.
  • Evaluation of skills transfer and its impact on departmental processes and performance indicators.
04

Ways to work together

AI project architecture, expert advisory work and team capability development.

AI project architecture and delivery support. Technical concept, prototype, integrations, quality criteria and implementation support.

Process and AI use-case assessment. Evaluation of business needs, data, expected impact, risks and implementation requirements.

Executive and strategy sessions. Work with business owners, leaders and teams responsible for AI adoption and digital transformation.

Corporate learning and methodology. Practice-based formats and development of programmes and materials for internal learning systems.