Abhishek Soni

Data Annotator @Humro

Gurugram, IN

1.Euro Pallet Annotation: Annotated images of Euro pallets used across various industries, ensuring accurate data labeling for the training of YOLO object detection models to identify pallets in different environments and conditions.2.YOLO Model Training: Trained and fine-tuned YOLO models specifically for pallet detection, ensuring high precision in identifying and classifying pallets from various angles and environments.3.Image Generation with AI Models: Utilized Stable Diffusion Model 3 and Microsoft Designer to generate high-quality images based on specific prompts, tailoring visuals for diverse use cases, including marketing materials, product designs, and conceptual artwork.4.Prompt Engineering: Developed and refined prompts to generate unique and relevant images, enhancing creativity and ensuring the output met specific project needs. Used deep learning techniques to adjust and iterate on images for optimal results.5.Data Collection & Management: Collected diverse pallet data from multiple sources, including online datasets, field images, and industrial environments, to create comprehensive and diverse training data.6.Quality Assurance & Data Validation: Conducted quality checks and ensured data consistency and accuracy across annotated images to ensure the integrity of the training datasets.7.Collaboration with Technical Teams: Worked closely with machine learning and AI teams to refine annotation processes, providing input for model adjustments and training strategies for improved pallet detection accuracy.8.Real-World Application: Supported the integration of YOLO-based pallet detection models into industrial automation systems, optimizing processes like inventory management, logistics, and supply chain operations

Maharishi Vidya Mandir Senior Secondary School

High School

GLOBAL NATURE CARE GROUP SANGATHAN INSTITUTION, Jabalpur

Bachelor of Technology - BTech

Mahatma Hansraj Modern School (MHMS)

Intermediate