A few things I'm proud of. Each one opens a full case study — problem, approach, result.
Moved a data platform from batch ETL to real-time streaming using Change Data Capture on MongoDB and Postgres, with reusable Python packages that hid the integration complexity from product teams.
Four rewrites of one query on a private-markets data platform, from a database LIKE through a hand-tuned lexical engine to a hybrid retriever fusing BM25 with 768-dimension embeddings.
Identified common patterns across 30+ crawling pipelines and automated project generation with cookiecutter templates, Helm charts, and shared CI — turning days of setup into minutes.
Multi-tenant agentic platform with two embedded SQL engines. SQLite for memory and state, chDB (embedded ClickHouse) for analytics.
A pipeline that turns fixed-camera traffic video into a queryable, simulatable digital twin of the road scene.
Owned the setup and automation of database clusters (MongoDB, Postgres, Elasticsearch, RabbitMQ) with Ansible + Terraform, cutting provisioning from weeks to hours with health checks, backups and monitoring built in.
Compliance documentation and settlement tracking for UK employers holding Skilled Worker sponsor licences.
Self-contained data agents that load their dataset at startup and answer queries in-process. No external data infrastructure needed.