Johan Edvinsson
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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.