Pratik Bassi is an intermediate full-stack software engineer based in Greater Vancouver with 8 years of professional experience and 5+ years focused on web development across Rails, React, Vue, Java/Kotlin and cloud services. He currently develops GraphQL-backed features at Jobber and previously built accessibility scanning tools and automation pipelines that sped analysis by up to 50% for Allyant. His background includes performance tuning and ETL work for SaaS products, custom reporting on large datasets, and modern CI/CD-driven web builds that helped clients secure seed funding. Pratik holds a UC Berkeley Professional Certificate in Machine Learning & AI and blends that ML curiosity with pragmatic engineering—evident in projects ranging from Android accessibility demos to data-heavy Pentaho integrations. Comfortable in fully remote, cross-functional teams, he brings a track record of shipping measurable improvements and turning legacy features into maintainable product enhancements.
8 years of coding experience
6 years of employment as a software developer
Certificate, Machine Learning and Artificial Intelligence, Certificate, Machine Learning and Artificial Intelligence at UC Berkeley College of Engineering
Bachelor's degree, Information Technology, 3.5, Bachelor's degree, Information Technology, 3.5 at Northeastern University
Statistics and Cognitive Computation, Statistics and Cognitive Computation at University of Toronto
Web Development Diploma, Computer Software and Media Applications, Web Development Diploma, Computer Software and Media Applications at Lighthouse Labs
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