Primary focus
Delivering AI/ML solutions with real business impact: LLM agents, RAG, recommendation engines, scoring, intelligent automation and applied ML services.
AI Solutions • LLM Agents • RAG • Recommender Systems • ML Platforms
Lev Ragulin
AI / ML Leader • Founder / CEO / CTO • Executive in Data & Platforms
I help businesses implement AI and ML solutions that deliver measurable impact: LLM agents to automate processes, RAG systems for enterprise knowledge, 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 design AI use cases but to bring them to production with the right infrastructure, SLAs, cost model, scalability and team processes.
LLM agents for business and SOP automation
RAG systems and corporate knowledge access
Recommender, scoring and ML solutions for real business tasks
Advisory on AI / ML and architecture
Launching and scaling AI products
Leadership: C‑level, product & tech
About
I am an executive-level leader focused on implementing AI and ML solutions for business, and on building the technology foundations required to run them reliably in production. My background spans applied AI, ML platforms, Big Data, DWH, BI and leading strong engineering teams.
How I work
I connect business goals, architecture, infrastructure, delivery and teams into a single execution loop that brings AI initiatives from idea to production.
Engineering foundation
Behind AI use cases there is a solid foundation in data platforms, high‑load systems, cloud, enterprise architecture and full lifecycle of complex platforms.
AI / ML expertise
Key domains where I have deep leadership and architectural experience.
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 smart but 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 running AI agents, and a recommendation systems platform for real‑world business use cases.
- Focus on AI agents and automation of business processes
- Recommendation systems as a separate product track
- Projects delivered for real clients and use cases
Cloud.ru — Head of Platform Unit AI Cloud
Managing a 60+ people team and developing a cloud ML platform end‑to‑end: deep learning on GPU, distributed training, model inference on GPU/CPU, ML/Ops tooling, high‑load support, SLAs and throughput optimization.
- New platform features, including model inference capabilities
- Platform stabilization and production processes setup
- Three‑year growth and development strategy for the platform
OneFactor — Head of ML Platform and Cloud Solutions
Leading three development and DevOps teams, evolving the ML platform architecture to meet business requirements, ensuring SLAs and managing 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 for conversations on AI strategy, LLM/ML implementation, advisory roles, leadership positions and partnerships.