Project Overview: We are looking for a skilled developer to build a Minimum Viable Product (MVP) for a lead generation platform. The tool will help users identify active academic researchers, map their recent publications, and find their verified professional email addresses. Think of this as a platform focused on academic activity and contact discovery. Key Responsibilities: API Integration: Connect to the OpenAlex API to retrieve researcher metadata (Names, Affiliations, ORCID, and Publication history). Search & Discovery Engine: Develop a system to find university profile pages and "Corresponding Author" details from paper DOIs. Web Scraping: Build robust scrapers (using Playwright or BeautifulSoup) to extract email addresses from university directories and academic landing pages. Email Verification: Integrate a 3rd-party API (like ZeroBounce or Hunter.io) to ensure email deliverability. User Dashboard: Build a clean frontend where users can: Upload CSVs of names/universities. Search by "Topic" or "Recency of Publication." Export verified results to Excel/CSV. Technical Requirements: Backend: Python (preferred) with FastAPI or Django. Frontend: React.js or Next.js. Database: PostgreSQL. Automation: Celery/Redis for background task management. Scraping: Experience with proxy rotation and anti-bot measures (Bright Data, Apify, or similar). Previous Experience: Please share examples of data enrichment or SaaS projects you have built. Timeline: 4–8 weeks for the MVP. Budget: Please provide your fixed-price bid or hourly rate. We are looking for high-quality, maintainable code.