Build Systems that Drive Business
June 11–12, 2018: Training
June 12–14, 2018: Tutorials & Conference
San Jose, CA
Jasmin Nakic

Jasmin Nakic
Lead Software Engineer, Salesforce

Jasmin Nakic is lead software engineer on Salesforce’s Sales Cloud performance engineering team, where he helps optimize cloud-based applications and build solutions to analyze and predict performance. Jasmin focuses on bringing advanced predictive analytics and machine learning methods to massive amounts of system performance data. Previously, he did database and application development at Teradata, KickFire, KLA-Tencor, and Oracle. Jasmin started his computer science adventure in high school in his small hometown in Bosnia, where he wrote short programs to analyze results from astronomical observations on HP calculators. Later, at the University of Sarajevo, he studied system programming, compilers, advanced architectures, and networks and wrote a thesis on object-oriented approaches to database programming.


9:00am–12:30pm Tuesday, June 12, 2018
Location: LL20 D Level: Beginner
Jasmin Nakic (Salesforce ), Jackie Chu (Salesforce)
Average rating: ****.
(4.67, 3 ratings)
Jasmin Nakic and Jackie Chu share techniques to identify performance challenges by analyzing production data from Salesforce and other sources and explore the AI models to predict trends, detect anomalies, and troubleshoot performance problems. Read more.