Goksu Ceylan

Senior Software Engineer · AI Platform & Search

Ottawa, ON, Canada · Open to remote · gceylan96@gmail.com · LinkedIn

Summary

Goksu Ceylan is a senior software engineer in Ottawa building AI platforms and search systems: scaling an LLM pipeline from 1M to 50M records, hybrid semantic search over 500K+ documents in six languages, and the sandbox layer of the PicoClaw AI agent framework.

Focus: Search & relevance, Applied AI and LLM systems, AI infrastructure, AI agent safety

Experience

Senior Software Engineer (AI Platform) · Brinqa

Austin, TX (Remote) · Jun 2026 – Present

  • Scaled an AI pipeline (embedding generation, vector clustering, LLM synthesis) from prototype to production, from 1M to 50M records
  • Profiled and optimized a distributed system (Python, Spring, ActiveMQ, YugabyteDB, BigQuery) at 50M-record scale; cut processing time from over 24 hours, and failing, to a reliable 6 hours
  • Cut BigQuery cost 98.5% by removing a query that scanned a 2-billion-row table on every delete batch
  • Built LLM guardrails and evaluation: deterministic checks that screen tens of thousands of production outputs per run for hallucinations

Senior Full-Stack Engineer | Technical Delivery Lead · CleanCode Limited

Remote · Mar 2021 – Jun 2026

  • Architected a global health standards platform (Angular, Spring Boot) used by 3,000+ medical facilities across 35+ countries
  • Built a semantic search engine for health standards: hybrid BM25 + vector retrieval on Hibernate Search + Elasticsearch, 500K+ documents at sub-second latency across six languages
  • Designed RAG pipelines where LLMs generated qualitative justifications for matches to assist human-in-the-loop reviewers
  • Built the fine-tuning pipeline for the semantic matching model: programmatic labeling, clustering, and deduplication of client documents; fine-tuned transformers in PyTorch
  • Authored a Government of Canada Scientific Research & Experimental Development project on multilingual semantic retrieval and cross-lingual embeddings
  • Rearchitected the platform for multi-tenant white-labeled deployments with separate MySQL databases per tenant on Kubernetes, deployed across the Netherlands, Belgium, Italy, and Latin America

Full-Stack Developer · Government of Canada

Ottawa, ON · Oct 2018 – Feb 2021

  • Built the ETL pipeline syncing Canada's national prisoner database across regional (SQL) and central (MongoDB) systems, processing 25,000+ offender records daily with 99.9% data accuracy in production
  • Delivered the federal application replacing solitary confinement in Canadian prisons under a legislated deadline; nominated for a Government of Canada award
  • Led development of an enterprise API gateway (Node.js), onboarding 15+ partner organizations and reducing integration time by 40%

Open source

Skills

Search & Data
Elasticsearch, hybrid search (BM25 + vector), YugabyteDB, BigQuery, MongoDB, MySQL
AI/ML
LLMs, RAG, AI agents, LLM evaluation & guardrails, embeddings, fine-tuning (PyTorch)
Infrastructure
Kubernetes, Docker, ActiveMQ, RabbitMQ, Grafana, GCP, Azure, AWS
Languages
Java (Spring Boot), Python, TypeScript (Angular), Go

Education

Bachelor of Computer Science, Carleton University · 2022