Built software for incident management, financial document processing, and legal research. Worked across frontend applications, backend services, data pipelines, and infrastructure.
- Built an anomaly management platform that tracks building incidents and routes reports to the right service providers, reducing manual coordination during incident handling.
- Developed a financial document ingestion pipeline that discovers incoming reports, validates and transforms their contents, and publishes processed data to downstream consumers.
- Improved a legal AI agent’s processing speed by 4.6 times while achieving more than 85 percent accuracy in citation and source adherence, without caching or persistent embedding storage.
Next.js · Spring Boot · Java · Kafka · MinIO · PostgreSQL · SQL Server · Confluent
