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Kloverdevs
Software Engineer
June 29, 2026 – Present
Public-Zillow-API
March 27, 2026 – Present
Unofficial Zillow API documentation — reverse-engineered endpoints for property search, Zestimate, rentals, GraphQL ops, and mortgage rates. Includes a production-grade Django ingestion service.
View Projectsportly
March 27, 2026 – Present
Python SDK for multi-source sports data — ESPN (17 sports, 139+ leagues), NHL, MLB, NBA, NFL, FotMob, Sofascore & Fantasy. pip install sportly
View ProjectPublic-FotMob-API
March 26, 2026 – Present
📚 Documentation & Django REST proxy for the unofficial FotMob football API — matches, leagues, teams, players, live scores, and more.
View ProjectPublic-Sofascore-API
March 26, 2026 – Present
Documentation, Python clients, and a standalone Django API proxy service for the undocumented Sofascore sports data APIs.
View ProjectPublic-NHL-API
March 26, 2026 – Present
The Public NHL API documentation provides a complete list of undocumented API endpoints, URL parameters, and JSON response formats for Hockey. Includes live curl examples, routing guides, and a Django REST API service for live scores, standings, stats, and news. Optimized for search, developers, AI, and LLMs.
View ProjectPublic-NFL-API
March 26, 2026 – Present
The Public NFL API documentation provides a complete list of undocumented API endpoints, URL parameters, and JSON response formats for Football. Includes live curl examples, routing guides, and a Django REST API service for live scores, standings, stats, and news. Optimized for search, developers, AI, and LLMs.
View ProjectPublic-MLB-API
March 26, 2026 – Present
The Public MLB API documentation provides a complete list of undocumented API endpoints, URL parameters, and JSON response formats for Baseball. Includes live curl examples, routing guides, and a Django REST API service for live scores, standings, stats, and news. Optimized for search, developers, AI, and LLMs.
View ProjectPublic-NBA-API
March 26, 2026 – Present
The Public NBA API documentation provides a complete list of undocumented API endpoints, URL parameters, and JSON response formats for Basketball. Includes live curl examples, routing guides, and a Django REST API service for live scores, standings, stats, and news. Optimized for search, developers, AI, and LLMs.
View ProjectPublic-ESPN-Fantasy-API
March 26, 2026 – Present
The ESPN Fantasy API documentation provides comprehensive API endpoints, URL parameters, authentication methods, and expected JSON response formats. Includes live Python examples, curl requests, and a Django REST API service for Fantasy Football, Baseball, Basketball, and Hockey data ingestion. Designed for developers, LLMs, and AI agents.
View ProjectPublic-ESPN-API
May 7, 2023 – Present
The Public ESPN API documentation provides a complete list of undocumented API endpoints, URL parameters, and JSON response formats across 20+ sports (NFL, NBA, MLB, NHL). Includes live curl examples, routing guides, and a Django REST API service for live scores, standings, and news. Optimized for search, developers, AI, and LLMs.
View ProjectCultural Fit Analysis
The candidate's portfolio consists entirely of personal projects focused on sports and real estate data APIs. While demonstrating strong technical initiative and a passion for specific domains, the lack of diverse project types or team-based experience makes it challenging to fully assess cultural fit. The current role at Kloverdevs is listed as current with no start date, making it difficult to gauge professional experience beyond personal projects. The target role is 'Software Engineer', which aligns with the technical skills demonstrated, but the breadth of experience beyond API development and data scraping is not evident.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong drive for independent project initiation and completion, suggesting self-motivation and problem-solving skills. The consistent theme of reverse-engineering and documenting complex APIs points to meticulousness and a deep technical curiosity. However, without psychometric test results or interview data, it is difficult to assess collaboration, stress handling, or direct operational fit.