SYED ALI RAZA

Led architecture and end-to-end development of Scibite Workbench, an NLP-driven platform for data annotation and ontology mapping, securing enterprise adoption by top pharma clients. Spearheaded a RAG-based AI assistant for ontology engineering in CENtree to accelerate concept definitions, ontology augmentation, and term enrichment workflows previously handled manually. Delivered SSO integration across Workbench and CENtree using Keycloak/OAuth2, enabling unified enterprise identity. Built Benchling integration for CENtree to standardize data between systems, and developed an ontology alignment module using spec-driven development (Spec Kit) for consistent multi-agent coding workflows. Created an MCP server for CENtree to expose taxonomy management and search capabilities so AI agents can query and curate ontology data.

Partnered with clients and analysts to define technical specifications for corporate banking solutions across multiple squads. Specified REST APIs and GraphQL endpoints for complex banking workflows and designed supporting data architecture for customer analytics. Built proof-of-concept services and reverse-engineered legacy capabilities to de-risk and accelerate migration. Implemented microservices using Java/Spring Boot and NestJS to unblock delivery during high-pressure release sprints.

Built PhenomeBrowser.net, a phenotype annotation repository with ingestion pipelines, ML-based similarity computation, and federated semantic search across biomedical ontologies (OMIM, NCBI Gene, PubChem). Delivered PAVS (Phenotype-Associated Variants in Saudi Arabia), enabling clinicians to curate phenotype-associated genetic variants, extending Phenopackets using SHACL and integrating variant annotation tools. Engineered Human Genome Uploader on Arvados Cloud for resumable uploads and automated downstream pipelines. Built a COVID-19 sequence upload platform integrated with Galaxy Server for pangenome analysis and contributed to research outputs accepted at SWAT4HCLS and in Orphanet Journal of Rare Diseases.