Adam Fisch
Staff Research Scientist at Google DeepMind
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolAdam Fisch is a Staff Research Scientist at Google DeepMind with 11 years of experience bridging cutting-edge ML research and production engineering. He earned a PhD in Machine Learning from MIT CSAIL after earlier internships and research roles at Facebook/FAIR and in robotics, and now leads research efforts that translate deep-learning advances into robust systems. His OSS work includes significant contributions to FacebookResearch's ParlAI and DrQA—improving tokenization, model loading, multi-task metrics, and training scripts for dialog and open-domain QA—highlighting a knack for making research code reliable and maintainable. Comfortable across research, engineering, and deployment, he brings both academic rigor and practical systems thinking to large-scale AI projects.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Massachusetts Institute of TechnologyBachelor of Science (B.S.), Mechanical Engineering, Bachelor of Science (B.S.), Mechanical Engineering at Princeton University
English, Hebrew
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (15)
pytorch10
machine-learning10
nlp10
dialogue-systems10
spacy10
trainings10
deep-learning10
python10
natural-language-processing10
modeling10
model-optimization9
evaluation9
eval9
data-science8
android6
Programming languages (4)
Github contributions (5)
facebookresearch/DrQA
Jul 2017 - May 2021
Reading Wikipedia to Answer Open-Domain Questions
Role in this project:
ML Engineer
ML EngineerContributions:39 commits, 26 PRs, 34 pushes in 3 years 10 months
Contributions summary:Adam made several modifications related to the model, including visualizing non-normalized scores, fine-tuning offsets, and fixing issues with saving models trained with DataParallel. They also updated the predictor arguments. Furthermore, the user implemented changes related to model loading and management, including ensuring that the models work with the latest version, as well as changes to the training scripts. The user also made minor documentation fixes and improvements to scripts for the retriever and pipeline.
answeropen-domainsentence-similaritywikipediadomain
facebookresearch/ParlAI
May 2017 - Jun 2017
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
Role in this project:ML Engineer
ML EngineerContributions:32 commits, 20 PRs, 15 pushes in 1 month
Contributions summary:Adam primarily contributed to the DrQA project, a framework for dialogue AI models. Their work focused on refining and extending the DrQA codebase, with a notable refactor of the DrQA reader agent. Key contributions include updates to model loading/saving, integration of spaCy for improved tokenization, and the addition of time features. They also addressed bugs and improved metrics for multi-task training.
ai
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