Resume

Skills

Languages: Go, TypeScript, JavaScript, Python, HTML & CSS, SQL

Technologies: AWS, Docker, ElasticSearch, MySQL, Terraform, Node.js, Git, Datadog

Other: Distributed Systems, Event-driven Design, Serverless Architecture, Microservices, API Design, CI/CD, Testing

Software Engineer

May 2025 – Present

Tokyo, Japan

TypeScriptDockerAWSMySQLRedisTerraformDatadog

Implemented an AI agent via midscene.js and puppeteer allowing AI-supported user provisioning saving 1 day of development time for each utilizing service
Imrproved customer request latency by developing request priorization based on request types leading to less wait times for user management on external services
Enhancing Github service integration by implementing Github App authentication allowing for more robust user management
Improved product coverage related to account management by integrating multiple new services via API or puppeteer scraping clients
Delived third-party service usage reports based on historic request data allowing feature priotization for highly-used services
Automated customer workspaces getting unstuck by implementing a new command with scheduled execution via AWS CloudWatch

Software Development Engineer II

Jun 2021 – Sep 2023

Berlin, Germany

GoTypeScriptDockerCI/CDAWSAPI GatewayCloudTrailCloudWatchDynamoDBEBSEC2ECRECSEFSEventBridgeFargateKMSLambdaS3SQSSSMStepFunctions

Designed, implemented, and executed comprehensive load tests, identifying multiple service bottlenecks, leading to successful Amazon CodeCatalyst Dev Environments launch with 0 related issues
Authored threat model for EC2 fleet and ECS task management, uncovering critical gaps in the ECS agent permission handling
Developed fallback mechanism allowing users to regain access to their previously inaccessible Dev Environments when storage limits were reached
Designed and led the implementation of customizable resource lifecycle events powered by AWS EventBridge, utilized by over 2000 internal and external users, resulting in reduced API load
Reduced HTTP request validation issues by over 99% by developing a custom request validator in Go, providing users with more accurate error messages compared to the standard AWS API Gateway integration
Built CI/CD pipeline using TypeScript for continuous execution of E2E and integration tests and canaries, exercising service reliability by simulating customer behavior
Reduced CI/CD pipeline latency by introducing a specialized stage for non-operational regions with pass-through option, significantly improving pipeline blocked time
Achieved operational readiness (ORR) approval for service launch by implementing region-specific deployment safety protocols and creating operational tooling, dashboards, and over 200 additional alarms

Consultant

Sep 2019 – Apr 2021

Berlin, Germany

PythonTypeScriptAngularScalaSparkS3Google Maps APIMLflow

Reduced development time by around 40h per deployed web study by designing and developing a modern web study service in Angular, including streamlined custom study configuration
Developed web study service backend in Python, handling user authentication and study result persistence in AWS S3-compatible storage
Reduced Python data analysis script runtime by 90%, saving 2h per week, by implementing caching mechanism for previously generated results and improving algorithmic complexity
Designed and implemented multiple image labeling workflows in Python, including image upload, task creation, previous label import, and result export using REST API of image labeling solutions
Developed a web application visualizing data analysis results of customer preferences by utilizing Python Dash
Developed a statistical model identifying vehicle waiting segments near destinations by analyzing over 1 million data samples, leading to continued client engagement

Teaching Assistant

Aug 2016 – Mar 2019

Berlin, Germany

RStatistical ProgrammingMathematical Modeling

Co-led course of 25+ students on statistical programming with R and assisting with assignments like finding optimal option pricing and simulating cancer growth in patients
Created sample solutions like spam filter based on Naive Bayes classifier and a tool to denoise images using Nadaraya-Watson estimator in R for statistical programming course
Supported 200+ Computer Science and Math students over 5 courses on linear algebra and statistics, guiding them through optimal assignment solutions and conducting learning sessions for exam preparation

Humboldt University of Berlin

2016 – 2019

Berlin, Germany

Thesis: The estimation of signal-to-noise ratios in high-dimensional linear models

Humboldt University of Berlin

2012 – 2016

Berlin, Germany

Thesis: The Skohorod MI Topology and weak Convergence