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Vadim FerdererVF

Vadim Ferderer

Java|Spring Boot|TypeScript|Performance|Databases

€720/day
Wiesbaden, DE
15+ years

Average response time: 1 hour

Freelancer profile translated to English.
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About Vadim

Java/Spring expert for performance optimization. 26 years of professional IT experience, 16 years Spring. I bring fresh perspectives to existing systems and deliver measurable improvements.

🔥 Results from previous projects
  • 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.
🎯 How I support teams
  • 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.
Tech Stack: Java, Spring Boot, PostgreSQL, Kafka, Spring Batch, Svelte, TypeScript, Docker

Hands-on with code, data-driven, results-oriented.

Complex legacy systems, performance bottlenecks, upcoming migrations – I bring the experience and methodology for these challenges.
  • German

    Native or bilingual

  • English

    Conversational

  • Russian

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • Adesso Insurance Solutions
    Senior Expert for Crisis Analysis & Realignment of Data Migration
    SOFTWARE PUBLISHING
    October 2025 - October 2025
    Köln, 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 weeks

    Technologies:
    Backend: Java, Spring Boot, Spring Batch, JPA/Hibernate, WildFly
    Databases: PostgreSQL
    DevOps: Maven, Docker/Docker Compose, Liquibase
    Java PostgreSQL performance-optimization Spring Batch JPA/Hibernate
  • adesso SE
    Senior Software Engineer, Architect
    BANKING AND INSURANCE
    September 2025 - September 2025
    Frankfurt 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 weeks

    Technologien:
    Backend: Java, Quarkus, Apache Kafka, virtual threads, JDBC batching
    Databases: PostgreSQL
    DevOps: Gradle, Docker, Docker Compose, ELK Stack
    Java Quarkus Apache Kafka PostgreSQL Docker
  • Eigenproduktion
    Sci-Life.art – Health Portal with LP-based Nutrition Optimization
    HEALTH AND WELLNESS
    January 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
    Java Spring Boot Svelte PostgreSQL TypeScript

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Education

  • -
    Fernuniversität in Hagen
    2008
    Computer Science
  • -
    University of Hamburg
    1998
    Physik

Skill set

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