About Vadim
- Latencies reduced by a factor of 10-20.
- Batch processing accelerated by a factor of 5-180.
- Memory footprint and build times halved.
- Specific numbers for each project below.
- Performance analysis and targeted optimization of existing systems.
- Architecture reviews with concrete, actionable recommendations.
- Technical documentation and knowledge transfer to the team.
- Building monitoring and observability where transparency is currently lacking.
German
Native or bilingual
English
Conversational
Russian
Native or bilingual
Experience
- Adesso Insurance SolutionsSenior Expert for Crisis Analysis & Realignment of Data MigrationSOFTWARE PUBLISHINGOctober 2025 - October 2025Köln, Germany
Migration of InterRisk Data
IT Modernization at InterRisk: Migration of insurance data from 23 legacy systems into the in|sure Ecosphere. Target systems: Partner management, contract management, claims processing, payment processing, commission accounting.Successes and Tasks:- Analysis of the existing migration framework "MigSuite"
- Creation of an alternative concept based on Spring Batch, including management presentation (technical concept, 90% cost reduction, risk assessment)
- Implementation of a production PoC (acceleration by a factor of 180):
- – Staging: 50 minutes → 11 seconds
- – Import: 225 minutes → 80 seconds
- – Projected total runtime: from weeks to a few hours
Duration of engagement: 4 weeksTechnologies:Backend: Java, Spring Boot, Spring Batch, JPA/Hibernate, WildFlyDatabases: PostgreSQLDevOps: Maven, Docker/Docker Compose, Liquibase - adesso SESenior Software Engineer, ArchitectBANKING AND INSURANCESeptember 2025 - September 2025Frankfurt am Main, Germany
ReTruSt – Rule-based CSV Data Processing
ReTruSt (Rule-based Transformation and Streaming) is a low-code platform for processing large amounts of CSV data in the banking sector. Rule definition via Google Blockly without programming knowledge. Microservice architecture with Java/Quarkus, PostgreSQL, Kafka, Keycloak. Target environment: Kubernetes.Successes and Tasks:- Concurrency analysis: 10 anti-patterns identified and resolved, 4 of which were critical (Resource Leaks, Buffer Overflow, Lock Contention)
- Performance optimization: JDBC batching, virtual threads – overall performance improved by a factor of 10
- Build optimization: Gradle build time reduced from 10 to 2 minutes
- Docker Compose optimization: Service dependencies corrected, memory footprint reduced (Redpanda 1GB→100MB, Keycloak 1GB→400MB), startup time accelerated by a factor of 5
- Architecture analysis: Technical documentation with optimization suggestions
- Alternative concept "WorkflowForge" developed: Plugin-based batch platform based on Spring Batch with capability system and scalable execution (local to cloud)
Duration of engagement: 4 weeksTechnologien:Backend: Java, Quarkus, Apache Kafka, virtual threads, JDBC batchingDatabases: PostgreSQLDevOps: Gradle, Docker, Docker Compose, ELK Stack - EigenproduktionSci-Life.art – Health Portal with LP-based Nutrition OptimizationHEALTH AND WELLNESSJanuary 2024 - Today (2 years and 5 months)Wiesbaden, Germany
Project Sci-Life.art – The Art of the Scientific Lifestyle
Health platform with a scientific approach: nutrition tracking, biomarker collection, and automated meal planning through linear optimization for disease prevention. 1.5 million+ foods, curated nutrient data.Activities:- Domain modeling: 10 Bounded Contexts with DDD, Event Storming, Context Map
- Import and harmonization of food databases: 500 curated, 8,000+ common foods, 1.5 million branded foods (USDA, CNF, SCF)
- Knowledge Graph: Curated database with nutrient-disease relationships
- LP-based nutrition optimization: 84 biochemical targets in 12 areas of cholesterol metabolism analyzed, constraints derived for linear optimization (Ojalgo)
- Voice Input: PoC for C++ microservice with Speech-to-Text
- Subscription model with feature tiers (Guest → Free → Basic → Premium)
Skills:- Backend: Java, Spring Boot, Spring Security, JPA/Hibernate, Spring Data
- Frontend: TypeScript, Svelte
- Databases: Postgres, Flyway
- Algorithms: Linear Optimization (Ojalgo)
- DevOps: Maven, Git, GitHub Actions, Docker, Vite
- Testing: JUnit, SonarQube, Vitest
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Education
- -Fernuniversität in Hagen2008Computer Science
- -University of Hamburg1998Physik