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David LewenkoDL

David Lewenko

Senior Full-Stack AI & Data Engineer

€800/day
Berlin, DE
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About David

I am a Senior Full-Stack AI & Data Engineer with a passion for scalable, data-driven solutions. With years of experience in machine learning, cloud architectures, and full-stack development, I help companies develop intelligent systems and automated workflows – from data processing and AI models to software integration. As a multi-certified developer, I have worked as an IT consultant with companies such as Allianz, Commerzbank, the German Football League, and HSBC. My focus is on data pipelines, AI and Generative AI models, API development, and cloud architectures – from data processing with Python & SQL to backend development with FastAPI & Node.js to scalable deployments in AWS & Kubernetes. What particularly distinguishes me? I take responsibility for the entire project – not just individual components. My clients value my end-to-end mindset, my ability to solve complex problems, and my pragmatic approach to software development.
  • German

    Native or bilingual

  • English

    Fluent

  • Polish

    Fluent

Remote only
Primarily works remotely

Experience

  • Public Cloud Group GmbH
    Senior Machine Learning Engineer
    March 2024 - March 2025 (1 year and 1 month)
    Berlin, Germany
    Led the development of a RAG knowledge platform using AWS CDK, Lambda, Cognito, API Gateway, S3, and Bedrock, optimizing OpenSearch with LLM-based semantic splitting, resulting in significant time savings for marketing and medical professionals.

    Built a Python package for extracting predefined keywords from candidate resumes, utilizing Bedrock, Jinja, and YAML, enhancing candidate selection efficiency and quality.

    Directed a PoC email classification platform using Amazon Comprehend, fine-tuning a custom classification model to achieve 92% accuracy, and implemented automated endpoint management for cost savings.
  • AllCloud
    Data & Software Engineer - AI & Data Analytics
    July 2022 - November 2023 (1 year and 5 months)
    Berlin, Germany
    Led a team in developing a data platform utilizing AWS services (API Gateway, S3, Redshift, Kinesis, Glue, SQS, SNS) and Apache Airflow. Ensured seamless orchestration via AWS StepFunctions and AWS CDK, while integrating continuous integration and deployment (CI/CD) principles with GitLab.

    Developed an asynchronous processing system for real-time language translation,leveraging AWS Transcribe, Translate, and Polly to manage continuous audio streams.

    Co-created an AI-translation platform, leveraging AWS services and SageMaker Augmented AI, to create an AI-empowered translation solution. The solution automated translations,reducing manual effort and costs, while maintaining quality through human review of translations.
  • DELOITTE
    Consultant | Machine Learning Engineer - AI & Data Analytics
    May 2021 - June 2022 (1 year and 1 month)
    Berlin, Germany
    Developed and automated a SageMaker-based recommender model pipeline, leveraging CDK, Step Functions, S3, and ECR. Enabled model retraining and deployment on new data, with Lambda for performance checks and automated endpoint updates for real-time application recommendations.

    Executed a ransomware identification POC using software log data. Managed data preparation, feature engineering, and EDA for time-series datasets. Developed and refined LR and XGBoost models. Enhanced XGBoost accuracy to 90%, F1-Score to 0.87 and ROC- AUC to 0.93. Implemented cross-validation and hyperparameter tuning to mitigate overfitting.

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Education

  • Bachelor of Engineering
    University of Applied Sciences Fresenius
    2021
    Bachelor of Engineering, Industrial Engineering

Certifications

  • AWS Certified Data Analytics - Specialty
    Amazon Web Services (AWS)
    2023
  • AWS Certified Solutions Architect - Associate
    Amazon Web Services (AWS)
    2022

Skill set (21)

Categories