Senior AI Engineer at Glean

Built production AI capabilities for Glean’s Work AI platform across enterprise search, AI assistant experiences, and agent workflows. Developed Python services and APIs integrating enterprise indexes, permissions metadata, retrieval/ranking, model providers, and evaluation datasets into product surfaces. Improved hybrid retrieval using embeddings, lexical signals, metadata filtering, freshness, and organizational context. Designed grounded-answer workflows with citation/source attribution, query rewriting, context selection, and fallback behavior. Implemented permission-aware grounding to prevent unauthorized content exposure. Created model-integration layers with prompt orchestration, timeout handling, structured logging, cost-aware inference, and provider fallback. Built evaluation pipelines for relevance, groundedness, citation quality, agent completion, and regression risk. Instrumented production services with traces for context/model outputs, latency, token/cost usage, failu

Software Engineer at DoorDash

Built production backend, data, and ML-adjacent systems for marketplace/logistics workflows including demand forecasting, ranking, personalization, and operational decision support. Developed service APIs and data contracts emphasizing reliability, experiment readiness, observability, and rollback-safe releases. Created feature pipelines with Python, SQL, Spark, Airflow, and Kafka to produce training/evaluation/monitoring datasets for high-volume models. Implemented ranking/recommendation/forecasting workflows for discovery, dispatch planning, triage, and marketplace experimentation. Built internal React/TypeScript tools and dashboards for ops review, experiment analysis, and data/model quality inspection. Hardened data workflows for late events, schema changes, backfills, and idempotent retries with data-quality monitoring across batch and streaming pipelines. Improved reliability using structured logging, automated validation, deployment guardrails, and dashboards for feature fresh