Software Engineer Intern verified_user
Verified experience
Snappr
Jun 2024 - Dec 2024 (7 months)
– Developed a dynamic e-commerce workflow using Temporal and models like Flux (Flux-Schnell) to generate live previews of products, enabling clients to visualize their items effectively in Snappr's platform. – Trained cutting-edge machine learning models such as Omnigen and Qwen-7B, enhancing the quality of generated images for high-profile clients like UberEats and DoorDash, driving improvements in image aesthetics and accuracy. – Built and deployed machine learning pipelines leveraging libraries such as Pandas, NumPy, and Scikit-learn for data preprocessing and feature extraction, while utilizing frameworks like PyTorch and Huggingface Transformers to develop state-of-the-art models, including CLIP, for tasks such as image quality assessm