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AI Engineer with 8+ years in Deep Learning & Medical Image Analysis
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Ph.D. Scholar in Artificial Intelligence with thesis work nearing completion at Thapar Institute of Engineering & Technology. Currently serving as an Assistant Professor at Punjab Technical University (PTU). Research expertise includes Deep Learning, Machine Learning, Computer Vision, Medical Image Analysis, Explainable AI, and AI-driven Healthcare Systems. Published multiple SCI/SCIE-indexed journal articles and actively involved in research focusing on automated lung disease diagnosis using radiographic imaging.
Thapar Institute of Engineering & Technology
Ph.D. · Artificial Intelligence
N/A – Present
Sant Longowal Institute of Engineering & Technology (SLIET)
M.Tech.
N/A – June 30, 2018
Institute of Engineering and Technology (IET), Bhaddal
B.E.
N/A – June 30, 2015
Punjab Technical University (PTU)
Assistant Professor
June 1, 2018 – Present
India
AI-Based Lung Disease Diagnosis Framework
January 1, 2026 – Present
Developed deep learning models for automated disease detection and classification from radiographic images.
DLSAC-Net
January 1, 2026 – Present
Designed and implemented an enhanced segmentation and classification network for chest X-ray analysis.
Tuberculosis Detection Framework
January 1, 2026 – Present
Developed AI-assisted systems for accurate TB diagnosis using deep learning.
Facial Recognition System
January 1, 2026 – Present
Implemented a deep learning-based biometric recognition framework using OpenCV and CNN architectures.
License Plate Detection System
January 1, 2026 – Present
Designed image processing algorithms for vehicle number plate extraction under adverse environmental conditions.
Data Science Using Python
Unknown
June 1, 2026 – Present
Freedom with AI Masterclass
Unknown
June 1, 2026 – Present
MEMS System and Design
Unknown
June 1, 2026 – Present
Image Processing and Deep Learning
Unknown
June 1, 2026 – Present
Security Trends in Mobile Ad Hoc and Sensor Systems
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's background in academia and research, with a strong focus on AI in healthcare, suggests a cultural fit for organizations that value innovation, continuous learning, and impactful research. Their experience in teaching and mentoring indicates a collaborative mindset. The diversity of projects, from medical diagnosis to facial recognition, shows adaptability and a broad interest within AI.
Soft Skills & Operational Fit
The candidate's role as an Assistant Professor suggests strong communication, presentation, and mentorship skills. Their involvement in curriculum development and research supervision indicates organizational abilities and a proactive approach to knowledge sharing. The focus on healthcare AI projects aligns well with roles requiring ethical considerations and real-world impact.