YouTube
Senior Software Engineer
I've significantly contributed to enhancing the platform through innovative Machine Learning and infrastructure development, leading and collaborating with teams of developers to achieve key results. For instance, I designed a unified ranking framework that boosted Search Active Users (SAUs) by 2% and increased CTR by 25% for multiple features. I also spearheaded the Youtube News experience, working with a team of SWEs to increase News CTR by 38% and daily News Searches by 10% through implementing clustering algorithms and NLP models.
Google
Software Engineering Resident
I focused on big data and machine learning to enhance information retrieval and data processing. I applied NLP and Machine Learning (RNNs, CNNs, Decision Trees) to over 10,000 articles, associating user questions with relevant documents in the fact-checking corpus, which is still visible on the first page of Google today. I also created and maintained MapReduce pipelines in C++ for managing the large-scale fact-checking article corpus, utilized by six major news publishers. My contributions extended to developing data pipelines that implemented label propagation and semi-supervised learning algorithms on large-scale graphs, significantly increasing library adoption.
Ericsson
System Data & Performance Intern
Developed and maintained full-stack applications and systems to simplify Ericsson’s processes and routines in Polymer/other web frameworks and Python/Java. Managed databases with PostgreSQL, MySQL, Cassandra, MongoDB, and HBase for multiple applications across multiple servers. Mined data from these databases to predict site mis-handlements and suggest possible solutions. Managed computer systems with Hadoop, Linux, and Windows. Created internal marketing campaigns with videos, newsletters, and programs.
