Description:
- The product was a semantic metadata platform as enterprise knowledge graph to be used for semantic recommenders and semantic smart search algorithms.
- The core was to create this Knowledge Graph with AI, ML, Natural Language Processing (NLP), semantic embeddings, and Ontologies.
- The multi-cloud solution consisted of numerous machine learning microservices, ETL pipelines on GCP, BigQuery as DWH, AWS Neptune as Knowledge Graph, and Azure OpenAI Services.
- For the ease of usage, a content exploration app was developed with Angular and FastAPI to retrieve information from the knowledge graph through a web app.
Skills: SCRUM, Data Science, AI, ML, Data Engineering, Machine Learning, Knowledge Graph, Graph Embeddings, Natural Language Processing, GPT-3, Azure Open AI, Ontology, Google Cloud, Kubernetes, Streaming, DevOps, Argo CD, GitLab CI/CD, Solution Architecture, ETL Architecture, Terraform, Infrastructure-as-Code, Firebase Authentication, AWS Neptune, AWS IAM, AWS STS, Python, Jupyter, Team Leadership, Partner Management