Summary
Deirdre Meehan is a Member of Technical Staff with 11 years of experience building data-driven, production-grade systems across finance and AI startups. She has led the design and delivery of scalable platforms — from authoring over 20 data pipelines and a Kafka-backed microservices foundation at Intropic to improving data quality and product delivery at Unlikely AI. Comfortable across Python, Java/Kotlin, RxJava, Kubernetes and NoSQL, she combines hands-on engineering with proven leadership in CI/CD, platform reliability and mentoring early-career engineers. Her background in quantitative development at Aspect Capital and SIG gives her a strong grounding in measurement-driven solutions and high-stakes operational environments. Now based in London, she continues to blend modern ML/AI tooling with robust cloud infrastructure to turn experimental models into reliable products.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Engineering (BEng) Computer Engineering, Bachelor of Engineering (BEng) Computer Engineering at Trinity College Dublin
Ursuline Secondary School, Thurles
English, German