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Leading cross-functional teams to deliver innovative Siri experiences.
As a Sr. Engineering Manager at Apple, I lead the team responsible for the core client runtime and backend services that power Siri and Dictation across all Apple products. I have 15+ years of experience in delivering software solutions, leading multi-disciplinary teams, and applying NLP, ML, and HLT techniques to solve real-world problems. For iOS 15, I led a cross-functional team that designed and prototyped the first-ever on-device Siri and dictation, achieving landmark KPIs such as sub-second latency, 90% reduction in network failures, and 60% reduction in overall failure rates. My mission is to enable Siri and Dictation to provide the best user experience possible, leveraging the latest advances in AI and HLT.
University of Minnesota Duluth
Master of Science, Computer Science
January 1, 2004 – January 1, 2006
University of Delhi
Bachelor, Information Technology
January 1, 1999 – January 1, 2004
Apple
Sr. Engineering Manager - Siri Platform
April 1, 2018 – Present
Cupertino
eBay
Sr. Manager, Applied Machine Learning
October 1, 2017 – April 1, 2018
eBay
Manager II, Applied Machine Learning
March 1, 2016 – October 1, 2017
eBay
Manager, Applied Machine Learning
April 1, 2015 – March 1, 2016
eBay
Principal Engineer - Applied Researcher, Human Language Technology
July 1, 2013 – April 1, 2015
SDL Research
Research Engineer
August 1, 2010 – July 1, 2013
Los Angeles Metropolitan Area
Beckman Coulter
Research Engineer
August 1, 2006 – August 1, 2010
Greater Minneapolis-St. Paul Area
University of Minnesota
Graduate Teaching Assistant
September 1, 2005 – June 1, 2006
VDIL, University of Minnesota
Graduate Research Assistant
June 1, 2005 – August 1, 2005
NATSRL, University of Minnesota
Graduate Research Assistant
September 1, 2004 – June 1, 2005
ECE, University of Minnesota
Graduate Research Assistant
September 1, 2004 – January 1, 2005
Greater Duluth Area
Defence Research and Development Organisation
Intern
January 1, 2004 – July 1, 2004
Text-NSP (Ngrams Statistics Package)
August 1, 2005 – April 1, 2006
Perl module to extract sequences of ngrams in large corpora of text, and measure their association. ● Designed and implemented the framework to support implementation of algorithms to measure the association of the words that form the identified ngram. ● Re-factored the previously implemented measures of association to comply with this framework. Implemented new measures of association to identify ngrams. ● Work resulted in publication- The Ngram Statistics Package (Text::NSP) - A Flexible Tool for Identifying Ngrams, Collocations, and Word Associations, Jun 23, 2011, MWE-ACL 2011
Web Grader
September 1, 2004 – December 1, 2004
Web-based automated essay grader. System grades user response to an essay topic on various criteria like grammar, relevance to the topic, and number of factual statements in the essay. ● Designed and implemented the module to measure semantic relatedness of the response to the topic. ● Implemented part of the module to measure the syntactic correctness of the user response. ● Implemented module to parse user input, identify and compute n-grams, check for spelling mistakes. ● Trained machine learning models to score the user responses based on number of lines, essay length, and other features for a given essay topic. ● Implemented the user interface including web pages to sign up new users and authenticate them.
Cultural Fit Analysis
The candidate has a strong background in large, product-driven technology companies (Apple, eBay, SDL Research), indicating experience with fast-paced, innovative environments. Their work on diverse projects, from automated essay grading to cross-border trade platforms and medical instruments, demonstrates adaptability and a broad interest in applying technical skills across different domains. However, the target role of 'Data Analyst' might be a step down from their 'Sr. Engineering Manager' and 'Sr. Manager, Applied Machine Learning' roles, potentially indicating a mismatch in career trajectory or expectations for a purely analytical role versus a leadership/engineering role. The projects are highly technical and research-oriented, aligning with a data-driven culture.
Soft Skills & Operational Fit
The candidate's extensive experience in leading teams and managing complex projects suggests strong leadership, problem-solving, and strategic thinking skills. Their work on defining and evangelizing engineering standards indicates a focus on operational excellence and process improvement. The descriptions imply strong collaboration skills through cross-functional efforts.