I'm a passionate and adaptable professional with postgraduate degrees in both Artificial Intelligence & Robotics and Electronics. I have hands-on experience working with embedded systems, IoT devices, and AI/ML technolog…
I'm a passionate and adaptable professional with postgraduate degrees in both Artificial Intelligence & Robotics and Electronics. I have hands-on experience working with embedded systems, IoT devices, and AI/ML technologies, and I enjoy building smart, efficient solutions that connect hardware with intelligent software. Over the years, I've worked on a variety of projects—from developing smart plugs and power systems to creating AI tools for medical and accessibility applications. I’m always eager to learn new technologies, take on challenges, and contribute to meaningful, forward-thinking projects.
Successfully implemented e-procurement systems in government sectors, enhancing transparency and efficiency.
Digitized and integrated document management processes, deploying a unified eOffice and eTender (GEPNIC) system to replace outdated workflows.
Reduced tender processing times by 25% and file approval times by 40% through automated bid evaluation workflows.
Conducted training sessions for over 2000 government officials, significantly improving process efficiency and system usage.
Managed system rollout, including server deployment, database configuration, and user access setup.
Successfully implemented e-procurement systems in government sectors, enhancing transparency and efficiency. Digitized and integrated document management processes, deploying a unified eOffice and eTender (GEPNIC) system to replace outdated workflows. Reduced tender processing times by 25% and file approval times by 40% through automated bid evaluation workflows. Conducted training sessions for over 2000 government officials, significantly improving process efficiency and system usage. Managed system rollout, including server deployment, database configuration, and user access setup.
Led the design and development of IoT products, achieving high standards of performance and cost-efficiency.
Developed embedded C code for ESP8266 microcontrollers, enabling seamless device communication and control.
Integrated smart plugs with cloud-based IoT platforms, adding remote control, monitoring, and scheduling features for energy management.
Performed rigorous hardware testing and debugging, ensuring product reliability and resolving issues efficiently.
Optimized production costs by managing Bill of Materials (BOMs) while maintaining quality standards.
Contributed to enhanced medical imaging systems, using digital signal processing to improve diagnostic accuracy.
Led the design and development of IoT products, achieving high standards of performance and cost-efficiency. Developed embedded C code for ESP8266 microcontrollers, enabling seamless device communication and control. Integrated smart plugs with cloud-based IoT platforms, adding remote control, monitoring, and scheduling features for energy management. Performed rigorous hardware testing and debugging, ensuring product reliability and resolving issues efficiently. Optimized production costs by managing Bill of Materials (BOMs) while maintaining quality standards. Contributed to enhanced medical imaging systems, using digital signal processing to improve diagnostic accuracy.
Objective: Developed a real-time assistive technology for visually impaired individuals, leveraging deep learning and computer vision to improve navigation and obstacle avoidance.Description: Implemented YOLOv5 for real-time object detection, using a smartphone camera to capture surroundings and OpenCV for processing. Provided audible alerts via Bluetooth earpiece to guide users safely through various environments. Enhanced mobility and independence for visually impaired users.Technologies Used: YOLOv5, OpenCV, Python, PyTorch, TensorFlow, Deep Learning Algorithms, Bluetooth Module.
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