Summary
Kwesi Cappel is a data engineer with nine years of experience building data pipelines, performing large-scale analysis, and operationalizing detections for safety and security use cases. He has driven threat and content safety work at TikTok and BlackBerry—combining Spark SQL, Python, AWS, and CI/CD automation to surface harmful behavior, remediate malware, and curate datasets at scale. At HiddenLayer he focuses on production data engineering, while earlier roles at Austin Energy honed his analytics, API and survey tooling skills in R and SAS. Kwesi pairs hands-on reverse engineering and malware remediation experience with a strong grounding in databases and ETL, having managed hundreds of millions of files for model training. He is based in Austin, Texas and is known for turning investigative data insights into cross-functional processes, SOPs and internal training that reduce risk and improve product moderation.
9 years of coding experience
4 years of employment as a software developer
High School Diploma, General Education, High School Diploma, General Education at James Bowie High School
IT Database Computer Information Technology, Oracle Database Administration, IT Database Computer Information Technology, Oracle Database Administration at Austin Community College