Über David
Deutsch
Muttersprachlich oder zweisprachig
Englisch
Verhandlungssicher
Polnisch
Verhandlungssicher
Projekt- und Berufserfahrung
- Public Cloud Group GmbHSenior Machine Learning EngineerMärz 2024 - März 2025 (1 Jahr und 1 Monat)Berlin, DeutschlandLed 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.
- AllCloudData & Software Engineer - AI & Data AnalyticsJuli 2022 - November 2023 (1 Jahr und 5 Monate)Berlin, GermanyLed 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.
- DELOITTEConsultant | Machine Learning Engineer - AI & Data AnalyticsMai 2021 - Juni 2022 (1 Jahr und 1 Monat)Berlin, GermanyDeveloped 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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Ausbildung und Abschlüsse
- Bachelor of EngineeringHochschule Fresenius2021Bachelor of Engineering, Industrial Engineering
Zertifizierungen
- AWS Certified Data Analytics - SpecialtyAmazon Web Services (AWS)2023
- AWS Certified Solutions Architect - AssociateAmazon Web Services (AWS)2022