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

Alex Jaimes
Head of R&D, DigitalOcean

Website

Alejandro (Alex) Jaimes is head of R&D at DigitalOcean and advisory CTO and chief scientist at Acesio. His work focuses on machine learning, mixing qualitative and quantitative methods to gain insights on user behavior for product innovation. Alex is a scientist and innovator with 15+ years of international experience in research leading to product impact at companies including Yahoo, KAIST, Telefónica, IDIAP-EPFL, Fuji Xerox, IBM, Siemens, and AT&T Bell Labs. Previously, Alex was CTO at AiCure and director of research and video products at Yahoo, where he managed teams of scientists and engineers in New York City, Sunnyvale, Bangalore, and Barcelona. He was also a visiting professor at KAIST. He has published widely in top-tier conferences (KDD, WWW, RecSys, CVPR, ACM Multimedia, etc.) and is a frequent speaker at international academic and industry events. He holds a PhD from Columbia University.

Sessions

3:40pm–4:20pm Thursday, June 14, 2018
Production Engineering, SRE, and DevOps
Location: LL21 C/D Level: Beginner
Secondary topics: Leadership & Career Growth
Alex Jaimes (DigitalOcean)
Machine learning (ML) is becoming a critical skill for developers and businesses alike. Applying ML successfully in real-world scenarios, however, remains challenging. Alex Jaimes discusses how to find opportunities to apply ML, the pitfalls in applying it, and the steps required to succeed—from data to metrics to testing to other critical factors. Read more.