Andrew Dodd
Machine Learning Engineer at Meta
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAndrew Dodd is a Machine Learning Engineer in New York with nine years of experience building scalable recommender systems, computer vision solutions, and ML performance optimizations. At Meta he led adoption of two-tower architectures and launched the company’s first model-based retrieval system for people recommendations, bringing low-latency personalization to Instagram’s friending stack. He previously helped create an FDA-cleared AI vision system for thyroid cancer diagnosis and optimized enterprise AI pipelines at Vianai, blending research-grade modeling with production performance work. Trained in mechanical engineering and ML (Cornell, Georgia Tech), he bridges physical-systems thinking with deep learning, and is especially focused on making models faster and more scalable in real-world products.
9 years of coding experience
9 years of employment as a software developer
Master of Science - MS Computer Science - ML, Master of Science - MS Computer Science - ML at Georgia Institute of TechnologyMaster’s Degree Mechanical Engineering - Robotics/Spaceflight, Master’s Degree Mechanical Engineering - Robotics/Spaceflight at Cornell UniversityBachelor’s Degree Mechanical Engineering, Bachelor’s Degree Mechanical Engineering at University of Massachusetts Amherst
French
Stackoverflow
11reputation
1kreached
2answers
0questions
Github Skills (54)
r9
parallel9
python9
classification9
data-mining9
kaggle9
lightgbm9
decision-tree8
deep-learning8
gpu8
machine-learning8
gradient8
gradient-boosting8
gbm7
catboost7
Programming languages (3)
Github contributions (5)
adodd202/Kaggle-Statoil-Challenge
Nov 2017 - Mar 2018
Contributions:122 commits, 113 pushes, 1 branch in 4 months
adodd202/MachineLearningCoursera
Jan 2017 - Jan 2017
Contributions:8 commits, 6 pushes, 1 branch in 1 day
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