Information & AI Systems Architect · SAP FI/CO Lead Consultant · S/4HANA · Open Source

Moscow, Russia · Remote · valery@lobachev.biz · lobachev.biz · LinkedIn

I am an enterprise architect and CTO with 25+ years at the intersection of business consulting and software engineering. My work spans two domains that rarely meet: SAP FI/CO / S/4HANA transformation and modern distributed systems architecture — Microservices, Event-Driven, AI/ML.

Today I design multi-agent AI systems, LLM-based document processing pipelines, and ML demand forecasting platforms — while consulting on the most complex SAP CO configurations. I have delivered enterprise systems across manufacturing, FMCG, energy, railways, and finance sectors, with international project experience in 4+ countries (BAT Africa rollout across 20+ nations, CIS region, Eastern Europe).

The Single Source of Truth for Your Data Model: Description, Code Generation, and Documentation.

Define your entire data model once in a typed Scala DSL and generate everything from it automatically:

• SQL DDL scripts for PostgreSQL and ClickHouse
• Entity code for Kotlin and Go (GORM, SQLx)
• Technical documentation in Excel
• Database schema diagrams in DBML format for dbdiagram.io
• Excel import/export templates

Eliminates the drift between code, database schema, and documentation. Used in production enterprise projects with 600+ tables.

object OrderDomain {
  val data = domain("Order", "Order model", "Model for simple order management system.")
    .withTables(
      table("Order", "Order")
        .withPK("id" :# "OrderId")
        .withFields(
          "orderDate" :# date :@ "Date of order" :== "CURRENT_DATE",
          dataElementTableField("CustomerId"),
        )
        .withRelations(
          manyToOne("customerId", "Reference to customer", "Customer", "customerId" -> "id")
        )
    )
}

Cross-language PostgreSQL benchmarking suite designed to measure and compare the performance of different database driver libraries under a realistic, business-like workload.

• Benchmarks PostgreSQL drivers across multiple languages side by side
• Realistic workload patterns (not just synthetic TPC-B)
• Written in Rust and Go for precise, low-overhead measurement
• Useful for choosing the right ORM/driver stack for your production system

Tool to replicate files from an HDFS source path to a local destination, excluding previously copied files. Built during production Big Data work (Hadoop/Spark ML pipelines for predictive maintenance systems).

The Annette Platform (annetteplatform org) is my main open source initiative — a production-grade distributed microservice platform for building enterprise applications.

Battle-tested in production:

• TELE2 Logistics System — ~700 users, SAP ERP on HANA integration
• MIMC Application Processing System — Moscow International Medical Cluster
• MVideo-Eldorado Intranet Portal — 50,000+ employees · 🏆 Intranet 2020 Award

Architecture highlights:

• Reactive / non-blocking throughout (Akka, Lagom, Pekko)
• Multi-instance Akka Cluster per microservice for HA and horizontal scaling
• Cloud-native: Docker, Kubernetes, OKD, Helm, Istio
• Auth: Keycloak with RBAC, ABAC, and ReBAC
• Data: Cassandra, PostgreSQL, OpenSearch, Kafka, Minio
• Frontend: Vue, React, SAP UI5 for React, Zustand

Scala / Akka / Lagom · Golang / go-zero / GORM · Rust / Axum
PostgreSQL · Cassandra · OpenSearch · Kafka · Minio
Docker · Kubernetes · Keycloak · Gitlab CI/CD

• SAP Certified Application Professional — Financials in SAP S/4HANA (2021)
• SAP Certified Application Associate — FI/CO (2006)
• CMA (Certified Management Accountant) — 3/4 exams · IMA
• Sun Certified Java Programmer (SCJP)
• M.Sc. Applied Mathematics — MEPHI, Faculty of Cybernetics (1994–2000)
• MBA — Financial Management · Synergy Institute / Plekhanov REA (2004–2006)
• MIT Sloan — Finance & Management Accounting (OpenCourseWare, 2004–2006)

_{Open to architecture consulting, SAP FI/CO & S/4HANA transformation projects, and AI system design engagements.}