Navid Kalaei is a Lead Data Scientist based in Vancouver with a decade of experience building high-performance, resource-efficient systems across data engineering, backend services, and front-end applications. At Lincoin Technologies he designed RPC servers serving up to a million sockets on 300 MB, built Kafka/Faust stream processors, and unified messy energy data from nine North American providers to enable a new product launch. He pairs systems-level Golang and Python engineering with hands-on Flask backends and Grafana visualizations, while retaining a strong front-end pedigree from senior React roles that cut bundle size and improved TTI by over 50%. A master's-trained machine learning researcher with Udacity nanodegrees in Deep Learning and React, he blends research rigor with pragmatic delivery and a knack for extracting data from nonstandard sources. Known among peers as a "lovely giant," he toggles between high-throughput blockchain services by day and thoughtful front-end work by night, thriving on autonomy, alignment, and cross-disciplinary collaboration.
10 years of coding experience
3 years of employment as a software developer
Nanodegree, Deep Learning, Nanodegree, Deep Learning at Udacity
Master's degree, Computer Software Engineering, Master's degree, Computer Software Engineering at Shiraz University of Technology
Bachelors, Information Technology, Rank 1, 17.19/20, Bachelors, Information Technology, Rank 1, 17.19/20 at Fasa University
Diploma, mathematics and physics, Diploma, mathematics and physics at National Organization for Development of Exceptional Talents (Sampad)
Contributions:355 commits, 2 PRs, 73 pushes in 7 months
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