PROFESSIONAL SUMMARY
Technically-driven Electronics & Communication Engineering student specializing in embedded systems, Internet of Things (IoT) platforms, and computer vision solutions. Strong fundamentals in digital and analog electronics, sensor-driven instrumentation, PCB design, and firmware-to-dashboard integration, backed by a 9.2 CGPA. Seeking an entry-level role in Embedded Systems, IoT, or AI/Computer Vision engineering to design and deploy real-world, hardware-integrated technical solutions.
PROJECTS
AI Smart Pedestrian Detection System
Technologies: OpenCV, YOLO
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Real-time pedestrian detection and safety-alert system using computer vision (OpenCV, YOLO) for smart mobility applications.
SARVA-X Smart Agriculture Platform
Technologies: IoT, AI
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IoT and AI-based smart irrigation platform (ET0-based); selected for the Wadhwani Foundation Venture Idea Development Bootcamp.
Technologies: Python, Computer Vision, AI
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AI-powered assistant application built using Python and computer vision/AI tools.
Human Following & Obstacle Avoidance Robot
Technologies: Sensor Interfacing, Computer Vision
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Autonomous robot combining sensor interfacing and computer vision for human-following and obstacle-avoidance behavior.