EE323: Computer Networks

Career Development Interviews


Ask questions to the professionals of computer networks!
You can submit questions by i) typing, or ii) uploading a video of yourself asking questions.

Lara Deek


Lara Deek
Hello everyone, my name is Lara Deek. I am originally from Lebanon. I came to the US to pursue my PhD with a Bachelors in Computer Engineering from the American University of Beirut. I interned at HP Research Labs, where I was lucky to have SJ as my mentor :) I have since graduated with a PhD in Computer Science from UCSB, pursued a post-doc at UIUC, then left academia for industry and joined Netflix as a Senior Software Engineer in 2015.
In my PhD and at Netflix, my emphasis has been in computer networks. At Netflix, I work on the Open Connect team, where we have built our own global Content Delivery Network (CDN) with over 18,000 custom servers spread across 167 countries. Using our CDN, we can localize our content near the edge and thus localize Netflix traffic. In doing so, we reduce costs for ISPs, maintain a quality of experience for Netflix users, and responsibly use bandwidth in the Internet infrastructure. My team specifically builds the services that manage our global CDN. This involves a deep understanding of distributed systems (ex. to consistently maintain state of all our servers globally), optimization algorithms (ex. to efficiently use resources across servers with varying capabilities in our CDN), and machine learning (to predict day-to-day content popularity). For more insights on Open Connect, see this.
Outside of work, I enjoy maintaining a balanced and healthy lifestyle. This involves connecting with family and friends, staying fit, and spending time in nature. My bio picture is of me and my cat Saya, who enjoys keeping me company right there at my desk while I work. Saya got his name from a Korean show Arthdal Chronicles, a character played by Song Joong-ki who I am a huge fan of.
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Submission Deadline: March 29th (Tue) 11:59 PM KST


Han Hee Song


Han Hee Song
Han Hee Song is a data scientist at Health Strategic Initiatives team at Apple. He launched Apple's pioneering study with a biopharmaceutical company Biogen on Cognitive Health aimed to monitor early signs of neurodegenerative diseases and dementia. He is responsible for algorithm development and model deployment for the detection of declining cognitive health using personal devices. Prior to joining Apple, he worked at Research and Technology Office at Cisco Systems, where he conducted R&D on Internet user data analytics on Cisco's cloud services. He received a Ph.D. and M.A. from the University of Texas at Austin. He received a B.S. from Yonsei University, Seoul, Korea. He published papers on big data mining on networked systems in ACM/IEEE Transaction on Networking, ACM SIGCOMM, ACM SIGMETRICS, and ACM IMC.
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Submission Deadline: April 12th (Tue) 11:59 PM KST


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Ramya Raghavendra


Ramya Raghavendra
Ramya Raghavendra received her MS & PhD in Computer Science at the University of California, Santa Barbara. She spent the next decade working as a research scientist at IBM Research, during which time she worked on a range of problems that spanned networking, network analytics and large-scale systems for Machine Learning. Ramya currently works at Facebook AI on problems at the intersection of systems and machine learning, leading the Green AI effort aimed at developing and deploying AI that is efficient-by-design.
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Submission Deadline: May 6th (Fri) 11:59 PM KST


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Riccardo Crepaldi


tbd
Riccardo is a Staff Software Engineer at Google.
He started his journey in Italy, getting a MS in ECE in 2006, with a concentration in networks and telecommunications at University of Padova, with a thesis on Wireless Sensor Networks (WSN) localization. He then moved to the United States, where he continued his work on Wireless Networks at the University of Illinois (UIUC). While pursuing his PhD, he interned at IBM research working on Wireless Sensor Network applications for the railroad industry, and at HP labs, where he worked on channel estimation for 3x3 MIMO systems under Sung-Ju Lee’s supervision.
In 2013, after graduating from UIUC with a PhD thesis on wireless applications for vehicular networks, joined Google’s Cloud Engprod Organization, at a pivotal time in the history of Google Cloud Platform (GCP). He started a team that builds tools and frameworks for functional testing and performance evaluation the Andromeda Networking stack, the base of Google Cloud’s virtual networking success. Andromeda enables network speeds of 100Gbps and beyond, with TCP latency below 50 microseconds, and makes use of DMA and OS bypass to achieve high efficiency (less than 10 CPU cycles per byte, most of which is used by the VM Guest OS).
In 2020 he transitioned to a new challenge, focusing on creating tools and processes to minimize the time-to-market of new platforms offered to GCP customers (this ranges from new CPU types, GPUs, to the development of new ASIC Smart NICs), through Google’s global network spanning 200 countries and territories.
Outside of work, Riccardo and his wife Francesca enjoy the SF Bay Area and the California outdoors, and they keep themselves busy raising two fun and very energetic children.
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Submission Deadline: May 24th (Tue) 11:59 PM KST


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