I am a Full stack developer at StreamNFT, proficient in deep learning, exploring computer vision, and experienced in full-stack web development. Actively seeking roles in my domain to apply my skills and drive innovation.
Worked in different stacks ranging from frontend next js to backend contracts +web2 backend apis.
Designed and implemented intricate UI components(for almost 8 pages) for new product Infits in React.js.
• Conducted a codebase optimization resulting in a significant decrease in page load time by 5-6 seconds, making the codebase
modular.
• Crafted the 6 frontend pages for this project, making use of Tailwind CSS
Scraped 10,000 images from the internet, and curated a dataset of 5,000 images for the website.
• Conducted data analysis steps on the annotated dataset of around 2000 images using labeling tools.
• Performed instance segmentation on the collected data, achieving an mAP score of around 67.
Created 3 mini apps for there website and revamped there whole new website Frontend using Remix Framework.Also Worked on creating webhooks,apis etc.