Remote, , US
Summary
Leads the development and deployment of scalable, stream-based backend services and advanced data analytics platforms, integrating machine learning and natural language processing capabilities to deliver high-impact data solutions.
Highlights
Led the full-stack development of a scalable, stream-based backend service, enabling efficient data aggregation, text clustering, LLM/RAG-based text summarization, and complex network analysis workflows.
Spearheaded the creation of a multi-application data analytic and visualization platform utilizing Streamlit and Elasticsearch, enhancing data exploration and social network analysis capabilities through integration with open-source visualization packages.
Engineered and deployed machine learning models, including NLP, NER, image classification, and translation enrichments, within Kubernetes to process tens of millions of documents monthly.
Developed a proprietary graph parser for advanced knowledge graph and social network analysis, providing critical insights for complex data relationships.
Designed and implemented in-house sentiment, topic classification, and image classification models, significantly expanding the organization's analytical capabilities and data enrichment offerings.