Summary
Brij Rokad is a Senior Software Engineer and Data Scientist with 9 years of experience building cloud-native ML systems that drive engagement and multi-million-dollar revenue outcomes. He has a strong track record owning end-to-end ML lifecycles—designing features, deploying models on GCP/Vertex AI, and implementing robust monitoring—across high-impact use cases like churn prediction, personalized marketing, and geo-driven analytics. At Candescent and NCR, he delivered production-grade pipelines and optimizations (e.g., 97% compute cost reduction, 6x job speedups) that enabled scalable training and measurable business impact. Comfortable in 0→1 environments, he repeatedly prototypes and ships solutions that accelerate GTM and cut operational overhead. Trained in AI (MS, University of Georgia) and skilled in PySpark, Databricks, Airflow, and Firebase, he blends research-driven thinking with pragmatic engineering. He also brings public-sector and remote-sensing experience, having built distributed pipelines for satellite-derived datasets and humanitarian map services.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science and Engineer, Bachelor of Technology (B.Tech.), Computer Science and Engineer at Vellore Institute of Technology
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at University of Georgia - Franklin College of Arts and Sciences
English, Gujarati, Hindi, French