Zurich, Switzerland

Newroz Gilgil

Software engineer building search, vector retrieval and distributed systems that stay fast under load.

Experience

Brack Alltron AG

Nov 2022 – present

Software Engineer, Information Retrieval (Search)

  • Cut average search query latency from 150 ms to 80 ms under high throughput (Java, Spring Boot).
  • Built HNSW vector indexes in Solr and embedding-based semantic search on Google Vector Search.
  • Search and recommendation microservices in Go and Python on GKE.
  • Data processing for pricing algorithms: 80% faster iteration for data scientists.

Zürcher Kantonalbank

Oct 2021 – Oct 2022

DevOps Engineer, Investments & Pensions

  • Large-scale data pipelines for FINMA regulatory reporting on multi-billion CHF assets.
  • Automated critical data workflows in Python, Java, Oracle SQL and Jenkins.

Skills

Languages
Go, Java, Python, SQL
Cloud & infra
Google Cloud (GKE, Cloud Run, Vertex AI), Docker, Terraform
Data
Solr, Redis, BigQuery, vector databases
Focus
Information retrieval, vector search, distributed and low-latency systems

Education

BSc Computer Science, ZHAW

2019 – 2021