Summary
Overview
Work History
Education
Skills
Personal Projects
Certification
Timeline
Generic

Sascha Wagner

ML Engineer & Senior Fullstack Software Developer
Ditzingen

Summary

Skilled in driving project success, I leveraged my problem-solving abilities and expertise in Spring Boot at Deutsche Bahn to increase application performance by 30%. My collaborative approach and adaptability in dynamic environments have consistently improved team efficiency and product quality, showcasing my commitment to excellence and attention to detail.

Overview

4
4
years of professional experience
14
14
Certifications

Work History

Senior Full Stack Software Developer

Deutsche Bahn
09.2024 - Current

Currently responsible for developing a master data service that ensures the management and calculation of train and metering point data in compliance with the latest energy industry regulations.

  • Developing REST APIs using Spring Boot
  • Implementing user interfaces with Angular and TypeScript
  • Setting up CI/CD pipelines with GitLab
  • Containerizing the application with Docker
  • Designing and optimizing databases with PostgreSQL
  • Integrating Artifactory for artifact management
  • Conducting end-to-end testing with Playwright
  • Storing documents in AWS S3
  • Configuring notifications with AWS SNS
  • Automating deployments with AWS CodePipeline
  • Implementing security measures in the CI/CD pipeline
  • Optimizing application performance through code refactoring
  • Designing components with Figma

Machine Learning Software Engineer

ApplAI
11.2023 - 09.2024

Responsible for developing an AI tool that automates the HR and application process by scraping job postings and using AI to generate optimized applications for employees.

  • Implementing user interfaces with Next.js and TypeScript
  • Developing frontend components with React and TailwindCSS
  • Creating REST APIs with BuildShip
  • Setting up CI/CD pipelines with GitHub Actions
  • Designing and optimizing databases with MongoDB
  • Crafting effective prompt engineering strategies
  • Building sustainable data models for machine learning
  • Developing a robust classifier model with Python
  • Developing a robust prediction model with Python
  • Conducting data analysis using various graphs
  • Performing hyperparameter tuning for improved model reliability
  • Designing and implementing a scalable and high-performance architectureArchitektur

Full Stack Software Developer

Deutsche Bahn
06.2023 - 07.2024

Developed software for consolidating and visualizing construction projects to organize rail construction projects and improve the efficiency of train bookings.

  • Developing backend services with Spring Boot
  • Creating interactive user interfaces with React and TypeScript
  • Setting up authentication and authorization with Azure AD
  • Implementing database queries and optimizations with MongoDB
  • Containerizing the application with Docker
  • Setting up CI/CD pipelines with GitLab
  • Conducting integration testing with Cypress

Full Stack Software Developer

Zentrum Für Kulturelle Teilhabe Deutschland
11.2022 - 05.2023

Responsible for the migration and development of a new system for managing ticket bookings and distributions, enabling socially disadvantaged individuals to access cultural events.

  • Migrating legacy software to a modern architecture
  • Designing a Domain-Driven Design architecture
  • Developing backend services with Spring Boot
  • Creating user interfaces with Angular and TypeScript
  • Setting up CI/CD pipelines with GitHub
  • Containerizing the application with Docker
  • Designing and optimizing databases with PostgreSQL
  • Optimizing application performance through code refactoring
  • Writing unit tests for Java componentsKomponenten

Full Stack Software Developer

Brodybookings Model Management And Casting
03.2022 - 10.2022

Responsible for the concept, architecture, and full development of a new system for a model agency, including database migration, the implementation of booking and billing systems, and the integration of chat and calendar tools.

  • Creating REST APIs with Spring Boot
  • Implementing user interfaces with Angular and TypeScript
  • Migrating legacy software to modern technologies
  • Designing and implementing a Domain-Driven Design architecture
  • Optimizing the PostgreSQL database for better performance
  • Setting up CI/CD pipelines with GitHub Actions

Front-End Web Developer

Mercedes Benz Vans
08.2021 - 02.2022

Responsible for the development and maintenance of frontend components, including UI adjustments and design changes.

  • Creating user interfaces with React and TypeScript
  • Implementing CSS components
  • Setting up Docker containers for the development environment
  • Automating tests with Cypress
  • Creating HTML templates
  • Implementing new design standards
  • Updating frontend components following UI library updatesLibary

Web Developer

Vom Wege GmbH
02.2021 - 07.2021

Contributed to the development of a Shopify-based e-commerce website for a fitness beverage provider, enhancing its online presence and sales.

  • Implementing web components
  • Developing themes with Shopify
  • Integrating customer content

Education

Professional Certification - ML / AI Engineer

Codecademy
New York City
04.2001 -

Professional Certification - Data Scientist: Machine Learning

Codecademy
New York City
04.2001 -

Professional Certification - Full Stack Engineer

Codecademy
New York City
04.2001 -

CS50 Certification - Computer Science

Harvard University
Cambridge
04.2001 -

Bachelor of Science - Technische Biologie

University Vaihingen
Stuttgart
04.2001 -

Skills

Teamwork and Collaboration

Problem-Solving

Adaptability and Flexibility

Time Management

Attention to Detail

Personal Projects

Stageway – Founder & Principal Engineer
End‑to‑end SaaS platform that automates tour planning for musicians

  • Architected a Java 17, Domain‑Driven, Event‑Driven backend; enforced tenant isolation with the dash‑me pattern and Caffeine token + data caching.
  • Hardened security: all auth flows run through Supabase JWT, validated and cached server‑side—zero secrets or state in the browser.
  • Built a Next.js (App Router) frontend with a strict server ↔ client split; RSC API routes act as a delegation layer, while React Query handles smart client caching (minimal refetches, instant state rehydration).
  • Integrated Google Maps & Routes APIs for live venue markers, distance matrices, and multi‑city route optimization.
  • Monetized with Stripe subscriptions / usage credits; webhook‑driven billing and account‑tier enforcement.
  • Deployed: frontend on Vercel (DNS via Namecheap), backend on AWS Elastic Beanstalk inside a VPC, data on a managed MongoDB Atlas cluster. CI/CD via GitHub Actions with automated test‑build‑deploy pipelines.
  • Ingested 250 k+ venues through a geo‑grid scraper (Python + H3), Google Places API, and ML‑assisted web/vision scraping—yielding rich, searchable venue profiles.
  • Eliminated manual research: musicians now discover venues, map optimal routes, and contact promoters from a single dashboard—turning a multi‑day task into minutes


Tech Stack: Java 17, Spring Boot, Next.js, React, TypeScript, Tailwind CSS, Supabase, Stripe, MongoDB, Google Maps/Places, Python, H3, AWS Elastic Beanstalk, SES, S3, Vercel, GitHub Actions



AI-Powered Book Digitization & YouTube Content Automation Automated Music Data Scraping & Promotion System Booking & Tour Management Platform

Developed an automation system that transforms handwritten book content into digital text and YouTube videos using AI-driven transcription, proofreading, and speech synthesis.

  • Transcribed audio recordings into text using AI-powered speech-to-text
  • Automated proofreading and language optimization using AI models
  • Generated AI-enhanced text-to-speech (TTS) audio for narration
  • Created AI-generated thumbnails and images for YouTube content
  • Produced structured text files containing the final optimized chapter, TTS audio, and a thumbnail
  • Enabled seamless content creation for YouTube by automating the entire workflow


Technologies Used: AI Speech-to-Text, AI Text Optimization, AI Text-to-Speech, Python, Automation Pipelines




Developed a Python-based automation system that scrapes and analyzes music industry data to enhance targeted music promotion efforts. The system extracts and filters relevant playlists, curators, and influencers before automating personalized outreach campaigns.

  • Built a web scraper that collects music-related data from various online sources
  • Designed a structured database to store and categorize relevant promotion targets
  • Developed an filtering system that matches songs with highly relevant curators and platforms
  • Automated email outreach by generating personalized, data-driven messages
  • Optimized targeting strategy to increase engagement and exposure for music releases
  • Enabled scalable, data-driven music promotion by fully automating the process


Technologies Used: Python, MongoDB, Web Scraping, Data Automation

Certification

Data Scientist: Machine Learning - - CodeCademy - NYC - 4 Months

Timeline

Senior Full Stack Software Developer

Deutsche Bahn
09.2024 - Current

Data Scientist: Machine Learning - - CodeCademy - NYC - 4 Months

04-2024

Machine Learning and AI Fundamentals - - CodeCademy - NYC - 2 Months

04-2024

ML / AI Engineer - - CodeCademy - NYC - 5 Months

01-2024

Machine Learning Software Engineer

ApplAI
11.2023 - 09.2024

Build Chatbots with Python - - CodeCademy - NYC - 7 Months

09-2023

Foundations of Kotlin - - CodeCademy - NYC - 1 Months

09-2023

Full Stack Software Developer

Deutsche Bahn
06.2023 - 07.2024

Advanced Java - - CodeCademy - NYC - 3 Months

03-2023

REST APIs with Spring and Java - - CodeCademy - NYC - 2 Months

03-2023

Foundations of Java - - CodeCademy - NYC - 5 Months

02-2023

Full Stack Software Developer

Zentrum Für Kulturelle Teilhabe Deutschland
11.2022 - 05.2023

Foundations of Cloud Computing - - CodeCademy - NYC - 2 Months

10-2022

Advanced React - CodeCademy - NYC - 5 Months

09-2022

Foundations of TypeScript - CodeCademy - NYC - 2 Months

05-2022

Full Stack Engineer - CodeCademy - NYC - 6 Months

04-2022

Full Stack Software Developer

Brodybookings Model Management And Casting
03.2022 - 10.2022

Foundations of JavaScript - CodeCademy - NYC - 3 Months

12-2021

CS50 Certification - Harvard - 6 Months

09-2021

Front-End Web Developer

Mercedes Benz Vans
08.2021 - 02.2022

Web Developer

Vom Wege GmbH
02.2021 - 07.2021

Professional Certification - ML / AI Engineer

Codecademy
04.2001 -

Professional Certification - Data Scientist: Machine Learning

Codecademy
04.2001 -

Professional Certification - Full Stack Engineer

Codecademy
04.2001 -

CS50 Certification - Computer Science

Harvard University
04.2001 -

Bachelor of Science - Technische Biologie

University Vaihingen
04.2001 -
Sascha WagnerML Engineer & Senior Fullstack Software Developer