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Machine Learning Engineer @ Meta | ML, NLP, AI
I am a machine learning engineer at Hyperscience, a leading automation company that leverages artificial intelligence to streamline complex business processes. With more than seven years of experience in natural language processing (NLP) and machine learning (ML), I have a passion for developing innovative solutions that can transform unstructured data into actionable insights and value. Previously, I worked as a senior NLP and ML engineer at Oscar Health, where I used NLP and ML to help our members find the answers and care they needed. Before that, I was part of the Content Intelligence team at Conde Nast, where I built internal NLP and ML APIs for various downstream applications and predictive models, such as topic modeling, keyphrase extraction, text-complexity analysis, content recommendation, and image processing. Prior to my career in NLP and ML I spent years in biophysics modeling complex biological systems and understanding their underlying principles.
Joan & Sanford I. Weill Medical College of Cornell University
Doctor of Philosophy (Ph.D.), Physiology, Biophysics, and Systems Biology
January 1, 2003 – January 1, 2010
Towson University
Bachelor of Science (B.S.), Athletic Training/ Exercise Physiology
January 1, 1998 – January 1, 2002
Meta
Machine Learning Engineer
January 1, 2024 – Present
San Francisco Bay Area · Hybrid
Hyperscience
Machine Learning Engineer
January 1, 2021 – January 1, 2024
New York City Metropolitan Area
Oscar Health
Senior NLP and Machine Learning Engineer
June 1, 2019 – January 1, 2021
Greater New York City Area
Condé Nast
NLP and Machine Learning Engineer - Content Intelligence
April 1, 2016 – July 1, 2019
Greater New York City Area
AT&T Labs
Data Scientist
April 1, 2015 – April 1, 2016
JP Morgan Chase thru Virtusa
Data Scientist
October 1, 2014 – April 1, 2015
New York, NY
New York University
Postdoctoral Associate
September 1, 2012 – July 1, 2014
Greater New York City Area
Weill Cornell Medical College
Postdoctoral Associate
December 1, 2010 – August 1, 2012
Weill Cornell Medical College
Graduate Teaching Assistant
September 1, 2006 – August 1, 2012
Weill Cornell Medical College
Journal Club Organizer
June 1, 2005 – June 1, 2012
Weill Cornell Medical College
Graduate Student
September 1, 2003 – December 1, 2010
University of Pennsylvania
Research Assistant
August 1, 2002 – August 1, 2003
Greater Philadelphia Area
Johns Hopkins School of Medicine
Undergraduate Research Assistant
September 1, 2001 – May 1, 2002
Baltimore, Maryland Area
Cultural Fit Analysis
The candidate has a diverse background spanning academic research, finance, telecommunications, media, and health tech, indicating adaptability to various industry cultures. Their roles as a Machine Learning Engineer and Data Scientist align with a data-driven and innovative environment. The transition from a scientific research background to industry demonstrates a capacity for career evolution and learning. However, the target role of 'Data Analyst' is a step down from their recent 'Machine Learning Engineer' roles, which might indicate a mismatch in career trajectory or a desire for a different type of challenge. The breadth of experience suggests a good fit for organizations that value diverse perspectives and strong analytical foundations.
Soft Skills & Operational Fit
The candidate's extensive experience in research and development roles, including organizing journal clubs and teaching, suggests strong analytical, problem-solving, and communication skills. Their progression through various ML/NLP roles indicates adaptability and a continuous learning mindset. However, specific soft skill assessments are not available.