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Machine Learning Engineer in Meta
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
The State University of New York, University at Buffalo
Master degree, Computer Science
N/A – Present
University of Shanghai for Science and Technology
Bachelor degree, Computer Science
N/A – Present
Meta
Software Engineer
March 1, 2025 – Present
Daiichi Sankyo US
Machine Learning Engineer (LLM/GEN AI)
May 1, 2024 – February 1, 2025
NJ, US · Hybrid
WorkFusion
Machine Learning Engineer
July 1, 2021 – August 1, 2023
New York, United States
MaxMD
Senior Software Engineer
April 1, 2019 – February 1, 2021
Medmeme
Machine learning Engineer
January 1, 2015 – March 1, 2019
1359 Broadway, Suite 600 New York NY 10018
Medmeme
Web Developer
October 1, 2012 – January 1, 2015
1359 Broadway, Suite 600 New York NY 10018
dealery.com
Web Developer
October 1, 2011 – September 1, 2012
Python Decorator Functions
Duke University
June 24, 2026 – Present
Develop Generative AI Applications: Get Started
IBM
June 24, 2026 – Present
Generative AI with Large Language Models
DeepLearning.AI
June 24, 2026 – Present
Sentiment Analysis with Deep Learning using BERT
Coursera
June 24, 2026 – Present
HL7 CDA Specialist
HL7
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Machine Learning with Python
Coursera
June 24, 2026 – Present
Data Science Methodology
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning web development and multiple ML Engineer roles across different companies, including a large tech company (Meta) and a pharmaceutical company (Daiichi Sankyo US). This suggests adaptability to various organizational cultures and problem domains. However, the lack of detailed project descriptions makes it challenging to fully assess cultural alignment with specific team dynamics or innovative environments. The short tenure at Meta and Daiichi Sankyo US (less than a year each) could be a point for further inquiry regarding long-term commitment or fit.
Soft Skills & Operational Fit
The candidate's resume provides limited information regarding soft skills or operational fit. The experience descriptions are primarily technical, making it difficult to assess collaboration, problem-solving approach, or adaptability beyond the technical domain. The psychometric test results are not provided, which would typically inform this area.