Pavan N — Data Scientist

Experienced AI Engineer with a passion for solving real-world problems through AI and deep learning. My experience spans across multiple industries, including healthcare, FMCG, and oil & gas, where I have developed and deployed scalable machine learning solutions. Some of my key projects include: • Cavity Detection in Panoramic Radiographs: Led an MTech project to develop an AI model for classifying dental cavities, achieving a high Intersection over Union (IoU) score of 78% using UNET architecture. Managed data collection, preprocessing, and annotation efforts, ensuring a robust and accurate classification model. • Packaging Label Comparison for FMCG: Developed a machine learning solution to compare digital packaging labels, implementing entity detection for textual and non-textual elements like QR codes and barcodes. The solution automated previously time-consuming processes, reducing manual processing from hours to seconds. • Piping and Instrument Diagram (PID) Digitization for Oil & Gas: Spearheaded the automation of PID processing, creating a custom PyTorch model for arrow classification and extracting essential metadata. This reduced processing time from months to minutes while consolidating outputs into structured formats (JSON, EXCEL). • Engineering Bill of Materials (EBOM) Analysis: Applied document intelligence and OCR techniques to extract and format data from diverse EBOMs. Integrated GPT models to address ambiguities and ensure consistent document formatting, optimizing data retention and analysis. • Wiring Chart PDF Analysis: Developed methods for accurately extracting wire lengths and part numbers from multi-page wiring diagrams. Automated the logging process and calculated the total wire lengths used, streamlining the analysis of engineering documentation. In these projects, I demonstrated strong expertise in AI, machine learning, deep learning, data processing, and automation, consistently delivering results that significantly improved operational efficiency and accuracy. I am always eager to explore state-of-the-art advancements in AI and collaborate with innovative teams to push the boundaries of machine learning. Let’s connect and discuss how AI can create meaningful impact!

Stackforce AI infers this person is a skilled AI Engineer specializing in healthcare and industrial automation.

Location: Bengaluru, Karnataka, India

Experience: 3 yrs 2 mos