Summary
Jumayel Islam is an Associate Director and lead developer with a decade of experience designing and delivering scalable distributed systems, data pipelines, and AI-driven applications across capital markets and e-commerce. He combines hands-on engineering—building high-performance reconciliation tools that process hundreds of millions to billions of records—with a research background in NLP and deep learning that produced state-of-the-art models for sentiment and biomedical relation extraction. At RBC he architected solutions that cut operational time by over 95%, digitized loan notice workflows, and shipped analytics and AI dashboards that improved decision-making and user experience. He’s fluent in cloud-native tooling, stream processing, and modern data validation stacks (ClickHouse, DuckDB, Kafka/ MQ, Airflow), and has a track record of mentoring teams and scaling internal tools used by 100+ groups. Notably, his work bridges research and production—translating multi-channel CNN and Tree-LSTM research into practical enterprise features. Based in Toronto, he holds an M.Sc. in Computer Science with a focus on AI and remains passionate about applying NLP and ML to solve complex operational problems.
9 years of coding experience
6 years of employment as a software developer
M.Sc. in Computer Science, M.Sc. in Computer Science at Western University
B.Sc. in Computer Science and Engineering, B.Sc. in Computer Science and Engineering at Khulna University of Engineering and Technology
Bengali, English