Stephen Malina
Member Of Technical Staff at Coefficient Bio
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolStephen Malina is a versatile engineering leader with 11 years of experience building production ML and backend systems, currently a Member of Technical Staff at Coefficient Bio after leading ML engineering at Dyno Therapeutics. He blends hands-on software engineering (notably at Uber and Compass) with machine-guided design and applied ML, steering teams from research prototypes to scalable production. His open-source contributions include low-level systems work—adding networking and instruction-counting features to a machine-code sandbox—highlighting comfort with both infrastructure and algorithmic detail. Stephen holds an M.S. in Computer Science from Columbia and a CS bachelor's from Dartmouth, reflecting a strong academic foundation for his applied work. Colleagues know him for moving complex projects forward across data, ML, and backend domains while keeping code comprehensibility and test rigor front and center. Based in New York, he favors pragmatic solutions that bridge research insights and robust engineering.
11 years of coding experience
9 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Dartmouth CollegeM.S. Computer Science, M.S. Computer Science at Columbia University
Github Skills (5)
programming-language10
x86-6410
x8610
linux9
unit-testing8
Programming languages (7)
Github contributions (5)
akkartik/mu
Jul 2016 - Sep 2016
Soul of a tiny new machine. More thorough tests → More comprehensible and rewrite-friendly software → More resilient society.
Role in this project:
Backend Developer
Backend DeveloperContributions:7 commits, 1 PR, 6 pushes in 2 months
Contributions summary:Stephen primarily focused on adding and refining features within the `mu` project, a machine-code environment. Their contributions include implementing a recipe to calculate the number of instructions executed, integrating a feature to display the instruction count in the sandbox, and fixing instruction count assignments. Furthermore, they added and updated network primitives, including socket functionality, demonstrating a solid understanding of low-level system interactions.
new-machineresilienttinyrewritesoul
an1lam/an1lam.github.io
Mar 2019 - Mar 2025
Contributions:206 pushes, 1 branch in 6 years
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