Debish Fesehaye

Debish Fesehaye has extensive work experience in the technology industry. Debish is currently working as a Senior Technical Lead at spiderSilk since August 2021. Prior to that, they worked at VMware for five years as a Senior Member of Technical Staff, where they focused on research and development, analytics, and implementation of VMware products.

Debish also worked at Neustar, Inc. as a Senior/Lead Software Engineer, where they researched, designed, and implemented IP reputation scoring mechanisms using machine learning algorithms on various big data sources. Debish utilized Java, Hive, Hive UDF, Hadoop MapReduce, MongoDB, Weka, Mahout, and Apache Spark for their work at Neustar.

Before joining Neustar, Debish worked as a Senior (Data) Scientist from June 2013 to November 2014.

Debish began their career as a PhD Graduate Student at the University of Illinois at Urbana-Champaign. During their time there, they worked as a research assistant, collaborating with Boeing R&D and also served as a teaching assistant. Their research focused on efficient cross-layer routing and congestion control architectures for distributed systems. Debish also worked on projects related to cloud datacenter architecture, content storage and retrieval, and content distribution.

Debish also gained industry experience as an Engineering Intern at Huawei Technologies USA R&D, Qualcomm R&D (in 2011), (2010), and (2009).

Debish Fesehaye's education history shows that between the years 2007 and 2013, they attended the University of Illinois Urbana-Champaign, earning a Doctor of Philosophy (PhD) degree in Computer Science. Prior to this, Debish Fesehaye studied at Stellenbosch University for an unspecified period and obtained a Master of Science (MSc) degree in Computer Science.