Maxim Attiogbe
Software Engineer at Stripe
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolMaxim Attiogbe is a software engineer and MIT-trained AI specialist focused on structure-based machine learning for drug discovery, with six years of experience spanning industry and academic research. He combines production engineering at Stripe—working on Radar’s abuse prevention signals—with hands-on molecular ML research, including a docking-affinity model (R² = 0.76) and integration of diffusion generative models into docking pipelines. His projects bridge large-scale data pipelines, AutoDock Vina docking evaluations, and synthesizability-aware generation, reflecting strength in both applied ML and computational chemistry tooling. Early work at Broad Institute and MIT CSAIL shows a track record of improving predictive performance (SV detection AUC 0.8941) and deploying LLM-powered search over documentation. Based in San Francisco, he is purposefully building toward roles in AI-driven molecular design and prefers to focus inquiries exclusively on that trajectory. An MIT AI alum comfortable shipping production services and novel scientific prototypes, he blends engineering rigor with domain-specific research depth.
6 years of coding experience
4 years of employment as a software developer
B.S., Artificial Intelligence & Decision Making, Minor in Math, B.S., Artificial Intelligence & Decision Making, Minor in Math at Massachusetts Institute of TechnologyWorcester Polytechnic InstituteMassachusetts Academy of Math and ScienceSouth High Community School
English, Spanish
Github Skills (7)
music-generation10
deep-reinforcement-learning10
computer-vision9
pytorch9
deep-learning8
tensorflow8
machine-learning7
Programming languages (3)
Github contributions (5)
maxiattiogbe/ColorHead
Mar 2021 - Sep 2024
Contributions:18 pushes, 1 branch in 3 years 6 months
Ideal-Internships/IdealInternships
Apr 2020 - May 2020
Contributions:41 pushes in 1 month
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