Lento Manickathan is a Senior Software Engineer in Zurich with 11 years of experience at the intersection of software development, computational fluid dynamics, and experimental aerodynamics. He holds a PhD from ETH Zürich and has transitioned academic expertise—spanning CFD, PIV, neutron radiography and wind/water tunnel experimentation—into machine learning applications for quantitative flow visualization. At Empa he developed supervised optical flow approaches using CNNs in PyTorch and supported lab HPC and laser-safety operations, and he now applies that blend of research rigor and production engineering at Disney Research. Comfortable across simulation, experiment and code, he brings deep domain knowledge of aerodynamics together with practical software engineering to deliver ML-enabled flow solutions. An early hands-on background in powertrain design and editorial work hints at a pragmatic, communicative approach to complex technical problems.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Department of Mechanical and Process Engineering, Doctor of Philosophy (Ph.D.), Department of Mechanical and Process Engineering at Eidgenössische Technische Hochschule Zürich
High School, High School at Inter-Community School Zürich
Master's Degree, Aerospace Engineering, specialization in aerodynamics, Master's Degree, Aerospace Engineering, specialization in aerodynamics at Technische Universiteit Delft / Delft University of Technology
Contributions:49 commits, 95 pushes, 4 branches in 19 days
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Lento Manickathan - Senior Software Engineer at Disney Research