Maxim Nova
Principal Software Engineer at Mach Industries
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolMaxim Nova is a principal software engineer and hands-on technical leader with 11 years of experience building simulation, modeling, and decision-making systems at the intersection of software and science. Currently shaping autonomous systems at Mach Industries and previously directing applied modeling at Actual, he has led teams that operationalize multimillion-dollar capital planning and create airspace digital twins for regulators and operators. A reformed physicist and ex-aviator with a Stanford MS, he pairs rigorous research in POMDPs and reinforcement learning with product-focused engineering for safety-critical domains. His open-source contributions to the Julia POMDPs framework reflect deep expertise in MDP/POMDP API design and probabilistic decision processes. An avid space enthusiast and licensed drone pilot, he brings a practical operator’s perspective to complex simulation problems and a passion for using software to combat climate change.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Arts (B.A.) Physics, Bachelor of Arts (B.A.) Physics at University of California, BerkeleyMaster of Science (M.S.) Aerospace Aeronautical and Astronautical Engineering, Master of Science (M.S.) Aerospace Aeronautical and Astronautical Engineering at Stanford University
Russian
Github Skills (4)
policies10
julia10
artificial-intelligence9
solver9
Programming languages (5)
Github contributions (5)
JuliaPOMDP/POMDPs.jl
Jun 2015 - Apr 2017
MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:185 commits, 13 PRs, 187 pushes in 1 year 10 months
Contributions summary:Maxim primarily contributed to the development of the core API for defining, solving, and simulating Markov decision processes. The commits demonstrate the creation of foundational elements, including belief, distribution, policy, and solver abstractions within the Julia language. The user's work focused on defining interfaces and basic functionality for several components within the POMDP framework, focusing on the API design and core structure of the library.
pythonhidden-markov-modelcontrol-flowcontinuousspaces
sisl/Chimp
Aug 2015 - Mar 2017
Contributions:122 commits, 11 pushes, 2 branches in 1 year 6 months
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