Senior ML Infrastructure Engineer

Nishanth Jayram is a Data / ML infrastructure engineer with experience building production-scale ingestion systems, ML pipelines, validation frameworks, and internal engineering tools. Currently at Protege, working on healthcare data ingestion and normalization across large EHR and imaging datasets, with Dagster-based orchestration, schema validation, drift monitoring, and production pipeline reliability improvements. Previously at Mastercard, Nishanth worked as a machine learning engineer on consumer engagement and merchant-offer forecasting systems: feature pipelines, propensity models, training/inference workflows, Delta Lake migrations, and React/TypeScript dashboards for model performance and production insights. Nishanth is looking for data engineering, ML platform / ML infrastructure, applied ML engineering, or full-stack roles where the work benefits from strong data/ML systems experience and product-minded engineering. Outside of work, Nishanth enjoys playing guitar, photographing birds, and watching old episodes of Carl Sagan’s Cosmos.