Monica Spisar
Technical AI Safety Researcher at Independent
United States
Summary
👤
Senior🎓
Top SchoolMonica Spisar is a Machine Learning Software Engineer with a decade of experience combining ML research, safe-AI thinking, and robust software systems engineering. She currently works on multi-agent reinforcement learning and AI alignment at Softmax, and previously built scalable data pipelines and observability for millions of users at Lantern while cutting costs and improving recovery times. Her background spans academic research (PhD-level biomedical engineering), hands-on model building—transformers, GANs, CNNs in PyTorch—and systems work in Go, Rust, and cloud infra. Monica has led cross-disciplinary programs from drug-discovery portfolio management at Oxford to product R&D in medical devices, bringing an unusual mix of technical depth, operational rigor, and policy-savvy collaboration. Curious by nature, she translates mechanistic interpretability interests into practical engineering, and has a track record of shipping production systems that reflect both research-grade insight and real-world constraints.
10 years of coding experience
9 years of employment as a software developer
PhD, Biomedical Engineering, PhD, Biomedical Engineering at University of MichiganBS, Physics, BS, Physics at University of Toronto
Stackoverflow
1reputation
0reached
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0questions
Github Skills (18)
html9
rails8
mvc8
ruby8
css7
multi-agent7
multithreading7
ruby-on-rails7
activerecord7
rack7
webserver6
ai6
server6
reinforcement-learning6
svg5
Programming languages (5)
Github contributions (5)
msyvr/raytracer
Nov 2021 - Dec 2021
Raytracer (Python)
Contributions:43 commits, 4 PRs, 36 pushes in 20 days
python
msyvr/resources---AI-artificial-intelligence--ML-machine-learning
Mar 2018 - Aug 2018
Contributions:5 commits, 3 pushes in 5 months
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