Professional Experience

Working on the development of AI-driven diagnostic and telemedicine systems under the supervision of Dr. Sweta Mahajan at NIT Jalandhar. The research focuses on analyzing MRI, CT, and X-ray data to improve diagnostic accuracy, automate clinical workflows, and support personalized treatment planning.

• Designing and implementing deep learning models (CNNs, RNNs) for medical image classification and diagnosis
• Developing EDN-SVM ensemble models to enhance predictive accuracy and robustness
• Processing large-scale medical datasets from TCIA, MIMIC-III, and other repositories with rigorous preprocessing and quality control
• Ensuring ethical compliance and data privacy in all AI-driven clinical applications
• Collaborating with healthcare professionals to validate model outputs and clinical applicability
• Contributing to India's AI ecosystem by developing scalable healthcare solutions

Managed grassroots community development initiatives focused on supporting rural farmers and enhancing their productivity and well-being through coordinated resource allocation and community engagement.

• Led a team to identify and resolve challenges faced by farmers, providing necessary resources and implementing practical solutions
• Facilitated communication between farmers and the Archana Self-Help Group, ensuring proper access to support services and community resources
• Developed and managed project budgets, ensuring efficient allocation and utilization of funds to maximize community impact
• Organized regular meetings to track progress, gather feedback, and ensure timely execution of farmer-focused initiatives
• Maintained smooth operational workflows between the self-help group and the farming community, improving service delivery and satisfaction

Taught Computer Science and Mathematics to students, combining fundamental concepts with practical applications while introducing emerging technologies including Artificial Intelligence.

• Delivered engaging lessons in Computer Science and Mathematics tailored to diverse learning needs and student capabilities
• Introduced students to Artificial Intelligence concepts, fostering understanding of real-world applications and future technological potential
• Designed comprehensive lesson plans that improved learning outcomes and enhanced active student participation
• Assessed student performance through regular tests, assignments, and projects, providing constructive feedback for continuous improvement
• Organized extracurricular activities and workshops to promote practical learning and encourage interest in technology and problem-solving

Conducted comprehensive network research focusing on experimental design, protocol analysis, and network performance optimization through hands-on laboratory work.

• Designed and executed network experiments covering routing protocols, traffic analysis, and QoS optimization
• Configured routers, switches, and virtual networks using Cisco equipment and simulation tools
• Performed traffic generation and packet-capture analysis using Wireshark and network monitoring tools
• Implemented and tested routing protocols including OSPF and RIP in various network topologies
• Documented experimental results and methodologies for academic coursework and research reports
• Mentored peers in hands-on networking labs and troubleshooting exercises