Praveen Narayanan is a Staff Software Engineer in Montreal with 10+ years blending machine learning, computer vision and high-performance parallel computing to solve real-world problems for autonomous vehicles and embedded systems. He currently focuses on bird’s-eye-view estimation at Torc/Algolux, bringing prior work in generative modeling, domain adaptation and speech synthesis from research to production. His background includes accelerating LIDAR point-cloud processing by 5–10x in CUDA and publishing on conditional VAEs for monocular SLAM and domain adaptation at top venues. Praveen’s PhD in fire modeling gave him deep applied-math and simulation expertise—Navier–Stokes solvers, singular perturbation and radiation modeling—that informs his approach to imaging and ray-tracing problems. Comfortable moving between research and engineering, he’s equally at home writing papers and shipping optimized, scalable systems. A new Canadian permanent resident, he combines multidisciplinary curiosity with a track record of turning academic ideas into deployed capabilities.
Contributions:44 commits, 33 pushes, 6 branches in 8 months
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Praveen Narayanan - Staff Software Engineer at Algolux