Ayşe Naz Erkan Email & Phone Number

San Francisco, CA, US

San Francisco, CA, US

Family, read, rest, and rejuvenate.Took time off while establishing a caregiving system for a family member.

Menlo Park, California, US

• Ideated and led the strategic consolidation of engineering, analytics, data science, machine learning, and NLP operations for Customer Support into a unified organization for holistic processing of text-based customer.
• Assembled and led CX Understanding, a 17-person diverse team built from scratch under the Customer Care organization.
• Partnered with the recruiting team and devised a hiring strategy for the ML and NLP talent.
• Supervised the design and execution of an intelligent customer ticket automation system using NLP techniques.
• Managed the orchestration of tools and processes to efficiently prioritize and resolve over 2 million incoming customer tickets during the GameStop short squeeze crisis, successfully addressing a Black Swan event.
• Served as a manager mentor and career coached engineers and tech leads.

Berkeley, CA, US

Co-lectured the Social Media and Social Movements class with David Evan Harris in the 2019 & 2020 Spring semesters. The focus of my sections was the societal impact of machine learning and its role in social movements.

San Francisco, CA, US

• Led two teams, CUAD (Content Understanding and Applied Deep Learning) and META (Machine Learning Ethics, Transparency, and Accountability), within Twitter Cortex, the central ML organization at Twitter. Managed a group.
• Supervised the expansion of CUAD’s delivery of NLP-powered content features to product teams across Twitter such as Timelines, Search Quality, Recommendations, and Ads.
• Transformed the META initiative from a reading group at Twitter which I started in 2017 to a fully funded team by creating a responsible AI strategy and securing endorsement from C-level executives. Co-ideated and.
• Served as a member of TAG, a forum of 12 senior engineers working directly with the CTO. Provided guidance for companywide adoption of new technologies and processes, and contributed to executive leadership decisions.
• Evaluated potential Twitter M&As in areas such as NLP, Recommendations, and ML Ethics.
• Participated in hiring and promotion committees.

San Francisco, CA, US

• Proposed NLP as a key strategic direction for Twitter’s product, obtained executive approval, and founded the CUAD (Content Understanding, and Applied Deep Learning) team from the ground up.
• Defined the team’s mission as the central hub for the implementation, deployment, monitoring, and evaluation of the deep learning NLP solutions at Twitter.
• Functioned as the de facto product manager directing team vision, defining product requirements, prioritizing deliverables, and aligning stakeholders to ensure seamless execution of projects.
• Supervised and directed the delivery of Named Entity Recognition, Wikipedia-based Entity Resolution and Linking, Abusive Language Detection, and Topic Modeling solutions for product engineering teams across Twitter.
• Earned recognition by Forbes magazine in 2017 as one of the top 20 women in AI.

San Francisco, CA, US

• Engineering manager and de facto PM for the Cortex product team. The team was responsible for developing, deploying, evaluating, and maintaining deep learning models for product teams across Twitter.
• In addition to overseeing the team's operations, I took charge of managing the entire project lifecycle, from inception to deployment and beyond.

San Francisco, CA, US

San Francisco, CA, US

• I designed and implemented a multi-modal NSFW filter that allowed safe ad displays on the Tweet details page.
• For this project, I also assumed product management responsibilities and created cross-organizational alignment among stakeholders from Cortex, Ads, Legal, Safety, and Infrastructure teams.
• The project resulted in a 7-figure boost in daily ads revenue after launch.

San Francisco, CA, US

Design, implementation and evaluation of machine learning pipelines for geo-location problems.

San Francisco, CA, US

Ranking, personalization and relevance backend for recommended content.I implemented the first-ever machine learning-driven ranking algorithm at Twitter for the Discover timeline. This was a proof of concept for the algorithmic Twitter home timeline which was launched later in 2016.

Ranking and evaluation systems for real time search quality.Twitter acquired Julpan in September 2011.

New York, NY, US

Tübingen, DE

Machine learning research in semi-supervised learning as a visiting scholar.Advisor: Yasemin Altun

New York, NY, US

Research in applications of deep learning to computer vision problems for autonomous robots.

Princeton, NJ, US

Machine learning research in semi-supervised learning.Supervisors: Ronan Collobert, Jason Weston

İstanbul, Istanbul, TR

Phd, Computer Science (Machine Learning)

Ms, Computer Science (Machine Learning)

Ms, Computer Engineering (Machine Learning, Computer Vision)

Bs, Computer Engineering

Education record