AWS Serverless Hero | Head of Development @iplabs | Design of highly scalable applications | Serverless and Gen AI on AWS | Java | International speaker
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ip.labs
Data Scientist
June 22, 2026 – Present
aws-lambda-java-25-spring-boot-4
February 26, 2026 – Present
AWS Lambda applications with Java 25, Spring Boot 4 and other technologies and frameworks like AWS Serverless Java Container, AWS Lambda Web Adapter, Spring Cloud Function for AWS, Spring JDBC, Hibernate, Hikari, DynamoDB, Aurora DSQL and Co.
View ProjectSpringAIWithAmazonBedrock
July 26, 2025 – Present
Spring AI With Amazon Bedrock model. Exploring Amazon Nova models through the Bedrock Converse API support. Experiment with Spring MCP support.
View ProjectAWSLambdaJavaWithAmazonDSQL
June 7, 2025 – Present
Experimenting with connecting Lambda managed Java runtime to the Amazon Aurora DSQL database
View ProjectAWSLambdaJavaWithQuarkus
December 23, 2024 – Present
Explore ways to run Quarkus web application with AWS Lambda Java or Customer Runtime with GraalVM Native Image
View ProjectAWSLambdaGraalVMNativeImage
February 9, 2024 – Present
Different examples of solutions API Gateway->Lambda->DynamoDB to deploy it on Lambda with Custom Runtime based on GraalVM Native Image (pure Java or with Spring Boot 3 framework) and measure Lambda performance (cold and warm start times)
View ProjectAWSLambdaJavaWithSpringBoot
February 4, 2024 – Present
Different examples of solutions API Gateway->Lambda->DynamoDB with Lambda managed Java 21 runtime based on Spring Boot 3 with AWS Serverless Java Container, AWS Lambda Web Adapter, Spring Cloud Function (all including SnapStart enabling and various priming techniques), Custom Docker Image and GraalVM Native Image
View ProjectAWSLambdaJavaAuroraServerlessV2DataApi
January 3, 2024 – Present
Different examples of solutions API Gateway->Lambda-> Amazon Aurora (PostgreSQL) Serverless v2 database with Lambda managed Java 21 runtime with usage of classic JDBC PostgreSQL driver, Amazon RDS Proxy or http-based Data API, all including SnapStart enabling and priming techniques
View ProjectAWSLambdaJavaSnapStart
December 3, 2022 – Present
Different examples of solutions API Gateway->Lambda->DynamoDB with Lambda managed Java runtimes with different Lambda memory settings, compilation options, (a)synchronous HTTP clients, Lambda layers, GC algorithms and hardware architecture (x86 vs arm64) including Lambda SnapStart enabling and priming techniques to measure Lambda performance
View ProjectDevOpsGuruWorkshopDemo
September 8, 2022 – March 9, 2025
Examples used to explore Amazon DevOps Guru service, the fully managed AIOPs plattform and provoke the incidents. I used these examples to write the article series about DevOps Guru (see the link below) and conduct hands-on workshops)
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on AWS serverless Java development, which is a strong technical fit for roles requiring cloud-native backend expertise. However, the target role is 'Data Scientist', and the projects show very limited direct experience in data science specific tasks, machine learning, statistical modeling, or data analysis tools beyond basic Python/Jupyter Notebook usage for database interaction. This indicates a significant mismatch with the stated target role, potentially impacting cultural fit for a data science team.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects demonstrate strong technical initiative and a focus on performance optimization and AWS ecosystem integration.