Daniel Tunkelang Email & Phone Number

Search, Machine Learning / AI, Data Science.Selected clients: Algolia, Apple, Canva, Cisco, Coupang, Coursera, CZI, eBay, Elsevier, Etsy, Faire, Flipkart, Fiverr, Gartner, Getty Images, Handshake, Home Depot, Lowe's, Macy’s, Oracle, Pinterest, Rent the Runway, Salesforce, SoundCloud, Target, Upwork, Wayfair, Yelp, Zalando, Zoom.More details.

Palo Alto, California, US

Working with leadership team on AI product and engineering strategy. Helped with Search.io acquisition.

Seattle, Washington, US

Helping Karat pair technology with the best of human connection to redefine what a technical interview can be.

Newton, Massachusetts, US

Contributed to projects that required specialized knowledge of search and related domains.

San Jose, CA, US

Worked with Search Science team, focused on query understanding. Drove effort to map queries to canonical vector representations of search intent, focusing on query similarity and specificity and relating unstructured keyword queries to structured browse nodes. Contributed to multiple launches improving conversion and recall, as well as reducing.

Taught classes on search and machine learning for software engineers, data scientists, and product managers.

Minneapolis, MN, US

Supported the search and data science technology and product leadership.

Surry Hills, New South Wales, AU

Helped Canva engineering and product leadership scale and improve search and recommendations.

Cupertino, California, US

Improved relevance for Maps autocomplete. Helped model and predict Siri performance. Helped analyze iCloud subscriptions and other behavior.

San Francisco, California, US

Helped with search, recommendations, and data science -- tactics and big-picture strategy.

San Jose, CA, US

Helped Zoom Team Chat team with search redesign and developed product roadmap for search features.

Seoul, Seoul, KR

Worked with search platform team to improve query understanding, search relevance, and whole-page optimization. Contributed to autocomplete improvements that drove higher autocomplete engagement and search conversion. Proud to have helped the company on its path to a successful IPO.

Amsterdam, North Holland, NL

Supported efforts to improve search for research products. Helped company hire and onboard a VP of product management for search platform and experience.

Brooklyn, NY, US

Worked with search team to support engineering, product, and data science efforts. Helped Etsy with Blackbird acquisition. Contributed to improvements in autocomplete and spelling correction.

San Francisco, California, US

Supported efforts to improve query understanding and search quality.

San Francisco, CA, US

Worked with the search and data science teams.

San Francisco, California, US

Worked with the search and data science teams. Contributed to autocomplete improvements and detection of adult intent.

Bangalore, Karnataka, IN

Worked with search team to improve search quality and analytics.

Sunnyvale, CA, US

Transitional role after decision to step down from leadership and pursue personal goals. Drove the Economic Graph Challenge, selecting 11 winning proposals from 200+ entries.

Sunnyvale, CA, US

Developed products enabling LinkedIn's members to find people, jobs, companies, and content. Established Query Understanding team, helping searchers express their information needs as effectively and efficiently as possible. Delivered entity recognition, smart search suggestions in autocomplete, and contextual refinements. Work spanned the full search.

Sunnyvale, CA, US

Led and grew world-famous team of data scientists focused on information extraction and relevance problems. Improved search, recommendation systems, and foundational data standardization. Developed suggested skills (used for skill endorsements) and launched alumni pages, which opened up higher education and students as a new market for LinkedIn.

Mountain View, CA, US

Worked in local search quality, leading team that matched the local search index against the web index to establish the official home pages of local businesses. These URLs show up for all local searches and are used by Google's web search algorithms to determine whether the searcher has local intent. Made significant improvements in precision and coverage.

Cambridge, MA, US

As core engineer / architect, developed many of the features that revolutionized interactive information retrieval and exploratory search for enterprises. Then led advanced research and advanced development, with an emphasis on text mining. Developed novel techniques for entity extraction and query performance prediction. Also led our efforts around.

Armonk, New York, NY, US

Recurring summer intern at IBM Research, working on information and network visualization, supervised by IBM Fellow Mark Wegman (https://en.wikipedia.org/wiki/Mark_N._Wegman).

Dallas, TX, US

Summer internship at Bell Labs. Worked as part of the Information Visualization group, exploring and prototyping new ideas in graph layout.

Bs, Ms, Computer Science, Mathematics

Phd, Computer Science