Pavan N

Results-driven engineering professional with solid background in computer vision and machine learning. Known for delivering impactful solutions in image recognition and processing. Highly reliable team player with focus on achieving results and adapting to evolving project requirements. Expertise in deep learning frameworks, such as TensorFlow and PyTorch, and valued for analytical thinking and collaborative skills.

Cavity Detection in Panoramic Radiographs using Deep Learning

• Led the MTech project focused on developing an AI model to classify four types of cavities.
• Conducted comprehensive data collection, preprocessing, and annotation.
• Achieved an Intersection over Union (IoU) score of 78% using UNET architecture.

Comparison of Digital Packaging Labels using AI for FMCG Company

• Developed a solution to compare two versions of packaging labels efficiently.
• Implemented entity detection for textual and non-textual symbols, including QR codes and barcodes.
• Reduced manual processing time from 24-30 hours to just 240 seconds through automation.

Digitization of Piping and Instrument Diagrams for Oil & Gas Company

• Extracted regions of interest and metadata, classifying inlet/outlet ports and PID objects.
• Automated CAD conversion, reducing manual processing time from months to approximately 400 seconds.

• Certificate of Recognition for filing a patent at Indian patent Office titled "Method & System of Comparing Digital Labels" (IN202141039416), awarded by L&T Technology Services.

Microsoft Certified, Azure AI Engineer - Microsoft.

• Strong desire to stay updated with the latest advancements in AI/ML technology.
• Actively contributes to team culture fostering diversity, equity, and inclusion.