➔ Implemented High-Accuracy Face Detection System: Developed a robust face detection system capable of accurately identifying faces and facial attributes from social media images. This implementation led to a monthly cost reduction of $500.➔ Developed Image Moderation System: Engineered an image moderation system with an 85%+ accuracy in detecting explicit and graphic content, improving platform safety and content management.➔ Built Instagram Reach Prediction Model: Created a machine learning model to predict Instagram post engagement, achieving a 75% accuracy rate in forecasting user interactions, helping optimize social media marketing efforts.➔ Constructed Image Segmentation Model: Developed an image segmentation model using hierarchical clustering techniques, precisely categorizing images into 200 distinct categories with an 80% accuracy rate, enhancing content organization and retrieval.➔ Devised Semantic Search Engine for TikTok Videos: Designed a semantic search engine enabling the retrieval of relevant TikTok videos based on keyword descriptions, improving content discoverability and user engagement.➔ Engineered Semantic Search Engine for Influencer Identification: Built a semantic search engine that allows brands to identify relevant community influencers based on keyword profiles, enhancing influencer marketing strategies.➔ Developed Brand and Competitor Analytics Tool for Instagram: Created an analytics tool providing comprehensive graphical insights into Instagram performance for brands, facilitating competitor analysis and uncovering key influencer marketing strategies.➔ Designed TikTok Video Performance Prediction Model: Developed a predictive model that forecasts TikTok post engagement levels, enabling brands to optimize content strategies and improve post performance.