Shabna Nasser

About Shabna Nasser

I\'m a Data Scientist skilled in Python, SQL, R, and have Master\'s in Computational…

Experience

1. Machine Learning Engineer

   Reap Studio

   Sep 2024 — Present

   Building a Virtual Try-On system that allows users to visualize clothing on themselves using generative AI and advanced image manipulation techniques.• Leveraging ComfyUI to create modular, node-based workflows for image generation, clothing overlay, and body pose alignment.• Deploying the solution on RunPod for scalable GPU-based inference and fast prototyping of Stable Diffusion workflows.• Utilizing Stable Diffusion and ControlNet models, Fine-tuning custom workflows for cloth-to-person mapping using image segmentation and prompt engineering.• Continuously researching and experimenting with techniques like LoRA, Inpainting, and depth conditioning to improve realism and detail in try-on results.•Developed and fine-tuned machine learning models for NLP tasks using Generative AI, such as resume scoring and recommendation systems, leveraging techniques like prompt engineering and transfer learning.• Assisted in data collection and preprocessing for structured and unstructured data, ensuring high-quality input for model training.• Fine-tuned pre-trained models (LLM, GPT, BERT, SBERT, etc.) with proprietary datasets, optimizing performance and enhancing output relevance.• Collaborated with cross-functional teams to integrate models into various platforms and maintain clear documentation of processes, experiments, and results.

Education

• APJ Abdul Kalam Technological University

  Master of Technology - MTech, Computational Linguistics

• Springboard

  Data Science

• University of Calicut

  Bachelor of Technology - BTech, Information Technology