ShangChien

Platform engineer focused on turning computational chemistry and AI research workflows into reliable internal products: data models, pipelines, search, observability, and developer experience.

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Experience

AI Drug Discovery Platform Engineering

Built research-facing systems for molecular data ingestion, model task orchestration, experiment tracking, and internal API design. Partnered with computational chemists and ML scientists to make notebooks, batch jobs, and production services share the same data contracts.

Data Infrastructure

Designed PostgreSQL-backed schemas for compounds, assay results, model runs, and audit trails. Tuned indexing, migrations, and background jobs for datasets that need both scientific traceability and product velocity.

Skills

RDKit, cheminformatics ETL, molecular standardization
PostgreSQL, schema design, indexing, queue-backed workflows
Python, TypeScript, Astro, internal tool and platform UI
Experiment tracking, model serving boundaries, observability