Machine Learning Engineer At Lylu GmbH
work

June 2023 - June 2025

Company Overview

Lylu GmbH develops senior-friendly software that redesigns existing internet content to make digital technology more accessible for older adults, thereby improving their quality of life.

Role: Machine Learning Engineer and Data Scientist

Solely responsible for developing and implementing an innovative software tool that transforms web pages into a specially adapted, barrier-free user interface tailored to the needs of older people.

Key Technologies

  • LammaIndex
  • LangChain
  • Google Cloud Platform (GCP)
  • Microsoft Azure (Azure AI Services)
  • Natural Language Processing (NLP)
  • Transformers
  • Vector Databases
  • APIs

Key Innovations

  • Advanced NLP Techniques: Implemented text embedding, similarity search, and semantic similarity for improved content understanding and transformation.
  • Model Fine-Tuning: Worked on fine-tuning open-source models to better suit the specific needs of senior-friendly content adaptation.
  • Contextual Understanding AI: Developed methods to autonomously transform web pages into a barrier-free interface specifically designed for older adults.
  • Efficient Data Architecture: Utilized vector databases to enhance platform functionality, enabling complex web content to be converted into a simplified, structured JSON format.

Implementation Highlights

  • Designed and implemented a comprehensive machine learning pipeline for web content analysis and transformation.
  • Developed APIs to seamlessly integrate the transformation tool with existing web infrastructures.
  • Created a scalable system capable of processing and adapting diverse web content types.
  • Implemented robust error handling and performance optimization techniques to ensure reliable operation under various conditions.

Key Achievements

  • Successfully developed and implemented the core technology driving Lylu GmbH's senior-friendly web transformation tool.
  • Consistently exceeded performance targets and project goals, even under challenging circumstances.
  • Demonstrated high levels of initiative, efficiency, and independent problem-solving throughout the project lifecycle.
  • Received recognition for delivering outstanding work results and achieving project objectives.

Skills

  • Proficiency in machine learning and data science techniques
  • Expertise in NLP and content transformation technologies
  • Strong ability to conceptualize and implement complex AI systems
  • Proficiency in working with and fine-tuning large language models
  • Experience with cloud platforms (AZURE) for deploying ML solutions
  • Ability to integrate multiple cutting-edge technologies into a cohesive system
  • Excellent analytical and problem-solving skills
  • Strong communication and teamwork abilities