Abstract:

  Moloco is a Silicon-valley-based startup that provides high quality realtime match-making services to various online businesses worldwide using cutting-edge ML and big-data processing technologies. Our successes in business derive mainly from our core technical competencies: i) best-in-class DNN models and the infrastructure that trains and serves those models, and ii) highly scalable and cost-efficient big-data processing infrastructure. My job at Moloco, as Head of Engineering, is primarily helping passionate, talented, and exceptionally capable engineers and scientists by identifying, creating, and offering opportunities that can create industry-wide technical or business impacts. 

 In this “general” talk, I will give a technical, but broad overview of what Moloco engineers work on. This will be by no means a deep research talk focusing on a particular subject matter, but I intend to touch upon some of the important technical aspects of our engineering projects by summarizing the core challenges we face and roughly how we intend to address them. During the talk I will also inevitably give a sketch of what I have worked on in my previous jobs. In doing so, I hope I could clarify the relevance of what Moloco does for a technical audience and also show how we can draw upon experiences from one sub-field in our broad industry -- or research domain -- to another.

Biography:

  Chang is Head of Engineering at Moloco, a SaaS startup that provides cutting-edge ML and big-data processing solutions and services to the mobile and e-commerce industries. Chang enjoys working with passionate, talented, and exceptionally capable engineers and scientists; he also works as an adjunct professor at the CS department of Stanford University. Up until early 2021, he worked as CTO of Applications at Barefoot Division in Intel, as well as an Intel Fellow. Chang had worked actively for P4.org, where he led various engineering and research projects regarding fully-programmable high-speed networking devices. Before getting involved with P4.org and Barefoot Networks, Chang had worked at Windows Azure, Microsoft’s cloud-service division and led engineering and research projects on the architecture, performance, and management of datacenter networks. 

With his collaborators Chang received a few awards, including the best paper awards from SIGCOMM, NSDI, and FAST. He received PhD in Computer Science at Princeton University, and MS/BS in Computer Engineering at Seoul National University.

담당교수: 전기•정보공학부 홍성수, 문의: 강환철(hckang@filewood.snu.ac.kr)