Pavan Nag R P
Lead Architect @Continental
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WORK HISTORY
Lead Architect @Continental
EDUCATION
Sri Jayachamarajendra College Of Engineering
Master's Degree, VLSI Design & Embedded Systems
C.I.T
Bachelor of Technology, Electrical and Electronics Engineering
ABOUT PAVAN NAG R P
Senior Staff Software Engineer with 13+ years of experience architecting high-performance ADAS platforms for production vehicles. I specialize in GPU-accelerated computer graphics, 3D surround-view visualization, and real-time embedded systems on heterogeneous SoC architectures (GPU/NPU/DSP).At Aumovio (formerly Continental), I lead the end-to-end architecture for multi-OEM Parking, Trailering, and Human Vision systems — from advanced algorithm design and augmented-reality overlays to embedded platform optimization and OEM technical engagement. My work spans the full stack: 2D/3D projections, image rendering, post-processing, sensor fusion, and safety-critical software compliant with ISO 26262, ASPICE, and MISRA.Key innovations include see-through bonnet (Transparent Hood) and see-through trailer (Transparent Trailer) — both awarded CES Innovation Awards (2020, 2021). I hold 10 international patents in surround view, AR visualization, and vehicle sensor systems.Core competencies: GPU/Graphics Programming — OpenGL/ES, GLSL-ES shaders, EGL, OpenCV on ARM/GPU platforms 3D Visualization & Rendering — Surround-view cameras, AR overlays, see-through bonnet/trailer, geometric projections ADAS System Architecture — Parking, trailering, Human Vision, multi-sensor fusion (camera, radar, ultrasonic) Embedded Optimization — Real-time algorithm optimization on resource-constrained automotive SoCs (TI, NVIDIA) Safety & Compliance — ISO 26262 (ASIL-B/D), ASPICE, MISRA-C, functional safety analysis Technical Leadership — Mentoring global teams, OEM technical reviews, RFQ evaluation, prototype demonstrations Innovation — 10 international patents filed, 6+ granted; CES Innovation Awards 2020 & 2021I thrive at the intersection of computer graphics, deep learning, and safety-critical embedded systems — delivering production-grade ADAS features that ship in millions of vehicles.Keywords: C, C++, Computer Graphics, Graphics Application, GPU programming, GPU Architecture, OpenGL, OpenGL Shading Language (GLSL), Git, GitHub, Jira, Agile Development, Jenkins, MISRA, Doors, GTest, Surround View, Camera, 3D visualization algorithms, Vision-based Advanced Driver Assistance Systems(ADAS), Augmented Reality (AR), Human Vision, Autonomous Driving, Autonomous Mobility. Shader Optimization, Real-time Rendering, Vulkan(learning), Performance Profiling, GPU Metrics, Embedded Linux, Performance Optimization, Automotive, Automotive SoCs
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