Ramon Axelrod
Co-Founder, CTO at Ikko-health
Israel
Summary
👤
Senior🎓
Top SchoolRamon Axelrod is a seasoned AI researcher and engineering leader with 12+ years building production-grade systems in autonomous navigation, computational geometry and high-resolution 3D modeling. As Co-Founder and CTO at Ikko-health and former Chief Scientist at GeoSim Systems, he blends hands-on performance engineering (notably optimizations to the industry-standard Recast navigation mesh) with system-level design of hi-res acquisition vehicles and distributed real-time systems. His background spans research management, processor architecture, nanofabrication and diffractive optics, enabling him to tackle problems that cross hardware, algorithms and physical measurement. Ramon has repeatedly shipped large-scale, latency-sensitive and synchronized systems—from mobile-network distributed apps to multi-thousand-core processor SDKs—and led AI teams building informed planning and navigation stacks for complex virtual worlds. Based in Israel, he combines strong theoretical training in physics and nanotechnology with practical debugging and performance tuning skills that surface in both research prototypes and production code.
12 years of coding experience
13 years of employment as a software developer
Master of Science (M.Sc.), Nanotechnology and Material Sciences, Master of Science (M.Sc.), Nanotechnology and Material Sciences at Tel Aviv University
Github Skills (12)
algorithm10
data-structures10
algorithms10
mesh10
pathfinding10
c-language10
cprogramming-language10
performance-optimization10
data-structure10
game-dev9
game-development9
ai9
Programming languages (2)
Github contributions (5)
recastnavigation/recastnavigation
Jan 2014 - Jun 2014
Industry-standard navigation-mesh toolset for games
Role in this project:
Back-end Developer & Performance Engineer
Back-end Developer & Performance EngineerContributions:48 commits, 2 comments in 5 months
Contributions summary:Ramon focused on performance optimizations within the Recast navigation mesh toolset. Their contributions centered on improving core rasterization and region expansion algorithms, as evidenced by the code changes in RecastRegion.cpp and RecastRasterization.cpp. They implemented techniques such as replacing loops and optimizing clipping, leading to more efficient processing of navigation mesh data. Additionally, the user addressed and fixed bugs in the mesh detail construction, which contributed to the improvement of the overall performance and stability of the navigation mesh generation.
meshgame-aigamescrowd-simulationnavmesh
axelrodR/recastnavigation
Jan 2016 - Jan 2016
Contributions:1 push in 1 day
meshgamesgame-developmenttoolsetnavigation
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