I’m a passionate AI and ML enthusiast with a PhD in Mathematics and background in Computer Vision, Transformer Models, Machine Learning, Deep Learning.
My core expertise lies in Computer Vision and Large Language Models (LLMs). Here are some highlights from my recent projects:
- Real-Time Small-Object Detection: Designed and implemented a cutting-edge small object detection system using RT-DETR on the VisDrone dataset, achieving mAP@50 score of 0.48, with outstanding real-world performance.
- Fine-Tuning Llama for Amazon Product Descriptions: Enhanced the Llama-3.2-11B-Vision model to generate generate compelling and SEO-optimized Amazon product descriptions.
- Fine-Tuning LLaMA for Python Code Generation: Improve LLAMA-3.2-1B-Instruct model to generate and comprehend Python code effectively.
- End-to-End Emotion Recognition System: Built and deployed a scalable real-time emotion recognition system, leveraging VGG16 for feature extraction and AWS for efficient deployment.
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