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ML/NLP science and engineering
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I'm a machine learning scientist, engineer, and team leader with a passion for language and machine learning. Most of my experience is with natural language processing (NLP), but I'm open working on other exciting projects! Interested in working together? Get in touch!
Carnegie Mellon University
Doctor of Philosophy - PhD, Language Technologies
June 1, 2005 – September 1, 2013
University of Illinois Urbana-Champaign
Master’s Degree, Computer Science
January 1, 2003 – January 1, 2005
University of Massachusetts Amherst
Bachelor’s Degree, Computer Science, Math minor
January 1, 1999 – January 1, 2003
Merlin
Machine Learning Engineer
April 1, 2026 – Present
Boston, MA · Hybrid
Nightfall AI
Data Scientist
January 1, 2023 – August 1, 2025
Boston, MA · Remote
Mainstay
Director of Artificial Intelligence
May 1, 2019 – June 1, 2022
Greater Boston Area
spotify
Machine Learning Engineer
July 1, 2016 – April 1, 2019
Greater Boston
Amazon
Machine Learning Scientist
September 1, 2013 – July 1, 2016
Cambridge, MA
Carnegie Mellon University
Research Assistant
May 1, 2005 – September 1, 2013
Pittsburgh, PA
University of Illinois at Urbana-Champaign
Teaching Assistant
August 1, 2003 – May 1, 2004
Urbana-Champaign, Illinois · On-site
Avian Research
Programmer
January 1, 2001 – August 1, 2003
Greater Boston Area
Raytheon
Web Programmer
June 1, 2000 – August 1, 2000
Greater Boston Area
Cultural Fit Analysis
The candidate's career trajectory, moving from research to industry giants and then to AI leadership roles, demonstrates a strong drive for innovation and impact. Their involvement in building foundational AI features (Alexa, Spotify voice) aligns with a culture that values pioneering work. The breadth of experience across different company sizes (startups to large enterprises) suggests adaptability to various organizational cultures. The academic background from top-tier institutions further indicates a commitment to continuous learning and intellectual rigor.
Soft Skills & Operational Fit
The candidate's experience as a Director of AI and Teaching Assistant suggests strong leadership, communication, and mentoring skills. Their work on large-scale projects at Amazon and Spotify indicates an ability to operate effectively in complex, high-pressure environments. The diverse project experience implies adaptability and problem-solving capabilities.