{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/4e4c1b3141bf4d008658999887775c8d\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/4e4c1b3141bf4d008658999887775c8d-9d177dd124197a2d.gif","duration":258.921,"title":"Innovative Candidate Search System Overview and Architecture 🚀","description":"In this video, I present my candidate search direction project, which I believe is more complex than standard job searching. I built a four-stage architecture that processes raw unstructured data and retrieves the top 20 candidate profiles based on a refined query. The system uses advanced techniques like semantic routing and progressive relaxed sieve to handle negations and optimize search results. I demonstrate the system's capabilities using a sample query and highlight how it effectively filters candidates. I encourage you to explore the results and provide any feedback."}