Primary focus
Delivering AI/ML solutions with real business impact: LLM agents, RAG, recommendation systems, scoring, intelligent automation, and applied ML services.
AI Solutions • LLM Agents • RAG • Recommender Systems • ML Platforms
Lev Ragulin
AI / ML Leader • Founder / CEO / CTO • Data & Platforms Executive
I help businesses deploy AI and ML solutions that create measurable value: LLM agents for process automation, RAG systems for enterprise knowledge access, recommendation engines, scoring models, and platforms for running machine learning in production.
My background combines AI/ML delivery, platform engineering, enterprise architecture, and deep data expertise. This allows me not only to shape AI use cases, but also to bring them into production with the right infrastructure, SLAs, cost model, scalability, and team processes.
LLM agents for business workflows and SOP automation
RAG systems and access to corporate knowledge
Recommendation, scoring, and ML solutions for real business challenges
Advisory in AI / ML and architecture
Building and scaling AI products
Leadership across C‑level, product & tech
About
I am an executive leader focused on implementing AI and ML solutions for business and building the technology foundations required to run them reliably in production. My background spans applied AI, ML platforms, Big Data, DWH, BI, and leading high-performing engineering teams.
How I work
I connect business goals, architecture, infrastructure, delivery, and teams into a single execution model that brings AI initiatives from idea to production.
Engineering foundation
Behind every AI use case is a solid foundation in data platforms, high‑load systems, cloud infrastructure, enterprise architecture, and the full lifecycle of complex platforms.
AI / ML expertise
Core domains where I bring deep leadership and architectural expertise.
LLM Agents
AI Agents for Business
RAG Systems
Recommendation Systems
Scoring Systems
ML Platforms
Model Inference
Deep Learning on GPU
Cloud AI Infrastructure
MLOps Tooling
Big Data
BI & Analytics
DWH Architecture
Data Governance
Technology stack
Python, LangChain, OpenAI, GPU, cloud infrastructure, model inference, ML/Ops, Kubernetes, Hadoop, Spark, Cassandra, Kafka, Airflow, Greenplum, Oracle, SAP BW on Hana, BI and analytics platforms.
Industry context
Fintech, e‑commerce, travel‑tech, retail, banking, cloud platforms, and enterprise environments where AI/ML solutions must be not only intelligent, but also reliable, scalable, and cost‑efficient.
Experience
Selected roles that best reflect my profile as a leader in AI/ML solutions and platforms.
dataholic.ru / theactions.ai — Founder / CEO / CTO
Leading the launch of a platform for building and operating AI agents, as well as a recommendation systems platform for real‑world business use cases.
- Focus on AI agents and business process automation
- Recommendation systems developed as a separate product track
- Projects delivered for real clients and business use cases
Cloud.ru — Head of Platform Unit AI Cloud
Led a team of 60+ and drove the end‑to‑end development of a cloud ML platform: GPU-based deep learning, distributed training, GPU/CPU model inference, ML/Ops tooling, high‑load support, SLAs, and throughput optimization.
- New platform features, including model inference capabilities
- Platform stabilization and setup of production processes
- Three‑year growth and development strategy for the platform
OneFactor — Head of ML Platform and Cloud Solutions
Led three engineering and DevOps teams, evolving the ML platform architecture to meet business requirements, ensure SLAs, and control infrastructure costs.
- Functional leadership of about 30 specialists
- Developing cloud and ML platform capabilities
- Stack: Hadoop, Spark, Cassandra, Kubernetes, Kafka, Luigi
Data, Big Data, and BI as a foundation
My AI/ML profile is grounded in extensive hands‑on experience with data platforms, Big Data, ETL, DWH, BI, enterprise architecture, Oracle, and high‑availability systems.
- X5 Group: data management strategy, new DWH platform launched in 8 months
- Home Credit: big data platform architecture and internal competence center
- Banking and enterprise experience in business‑critical systems
Contacts
Open to conversations about AI strategy, LLM/ML implementation, advisory roles, leadership positions, and partnerships.