SHUBHAMKANOJIA

Orchestrated ML pipeline orchestration, enhancing data digitization, anonymization, and AI model fine-tuning processes. Developed a proprietary data labeling platform, significantly improving data annotation efficiency and accuracy. Utilized foundational ML models across diverse data types for programmatic labeling, expanding AI application scope. Implemented confident learning for dataset validation, ensuring high-quality data for model training. Established an active learning framework to continuously enhance AI model performance. Secured over 30 client partnerships, illustrating exceptional business development skills. Designed and implemented a comprehensive MLOps pipeline, streamlining AI solution deployment and management.

Developed a prototype for automatic visual inspection of biscuit packaging using EDGE devices, utilizing YOLO V5 model for defect detection and enhancing quality control processes in the food industry. Designed and implemented a novel system integrating USB cameras and a DC source-controlled conveyor belt for real-time inspection. Employed advanced machine learning techniques, including ghost convolution modules and vision transformers, to optimize model performance while reducing computational requirements. Conducted experiments with Raspberry Pi and Jetson Nano platforms, demonstrating the system's effectiveness in detecting packaging defects through optimized TensorRT deployments.

Led the development and deployment of an AI-driven road inspection system on AWS, implementing advanced algorithms for pothole detection and depth estimation. Architected a scalable infrastructure utilizing Amazon ECS, optimizing resource management and scalability. Designed a comprehensive MLOps pipeline, incorporating automated data labeling, model training, validation, and deployment. Represented RoadVision AI at the International Road Federation (IRF), showcasing advanced AI solutions and contributing to industry discussions. Instrumental in driving the company's growth, contributing to a substantial increase in client acquisition.