Embedded Systems | Co-Author of a research paper | Edge AI | RTOS | QNX

Bengaluru

Remote
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On-site







Bachelor of Engineering - BE, Electronics and communication
KLE Technological University - Hubballi (India)
Sir MV PU College, Davangere
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Bengaluru
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Software Engineer at Sasken Technologies Limited, Feb 2026 - Present · 7 mo, Bengaluru
Project Developer (NVATIC) at NVIDIA, Feb 2024 - Jul 2024 · 6 mos, Remote, • Developed QNX Resource Manager Monitor for real-time health monitoring and anomaly detection in QNX OS-based embedded systems, achieving 99.8% uptime and supporting 10+ Resource Modules with 10-second health metric updates. • Optimized watchdog system with a 5-second heartbeat interval, resulting in 50% faster recovery times for detected faults, and leveraged Genetic Algorithms to reduce CPU usage by 20% while improving data processing times by 15%. • Enhanced resilience through fault-detection algorithms and heuristic optimizations, achieving 78% accuracy in anomaly detection and reducing system overhead by 25%.
Project Intern at KLETech-Center of Excellence in Visual Intelligence (CEVI), Oct 2023 - Nov 2024 · 1 yr 2 mos, On-site
Bachelor of Engineering - BE, Electronics and communication, KLE Technological University - Hubballi (India)
Sir MV PU College, Davangere