PROFESSIONAL SUMMARY
Technically-driven Electronics & Communication Engineering student specializing in embedded systems, 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 computer vision system (OpenCV, YOLO) that detects pedestrians and triggers instant safety alerts, engineered for smart mobility and autonomous-driving safety applications
SARVA-X Smart Agriculture Platform
Technologies: IoT, AI
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Founded and led an IoT + AI-based, ET0-driven smart irrigation platform that automates water scheduling using real-time weather and soil data; selected for the Wadhwani Foundation Venture Idea Development Bootcamp (VEN-SARV-7929)
Technologies: Python, AI, NLP, Computer Vision
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Built a Python-based AI assistant integrating computer vision and AI/NLP capabilities to automate everyday tasks through voice and visual interaction
Human Following & Obstacle Avoidance Robot
Technologies: Ultrasonic Sensors, IR Sensors, Computer Vision
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Designed an autonomous robot combining ultrasonic/IR sensor interfacing with computer vision for real-time human tracking and dynamic obstacle avoidance
AI-Based Dual-Axis Remote-Control Car
Technologies: Wi-Fi, AI, Camera Control, Live Video Streaming
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Engineered a Wi-Fi-controlled car with dual-axis (pan-tilt) camera control and live video streaming, enabling real-time AI-assisted navigation and remote surveillance