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Nationwide Service Discovery at Scale: AI-Powered Web Crawling Framework for a Leading Nonprofit

Process Expertise: Modular workflows were designed to enable geographic and service-type targeting, providing precise control over data collection operations. User-level controls were implemented to manage scope and prevent system overload. Agile development practices, including iterative cycles and rapid feedback loops, ensured continuous alignment with nonprofit requirements and evolving data needs.
Product Expertise: A UI-enabled scraping system was delivered with scoped search capabilities, allowing efficient targeting by region and service type. Intelligent integration of OpenAI and multiple discovery APIs enabled structured and high-quality data extraction. The solution included validation protocols and fallback mechanisms to handle non-standard or inconsistently structured websites.
Technical Expertise: A dynamic web crawler was developed using Selenium to manage JavaScript-heavy content and diverse web architectures. Advanced natural language processing with OpenAI was applied to parse unstructured content into structured datasets. The system was deployed using serverless architecture via Azure Functions, ensuring scalability, stability, and real-time performance monitoring under varying loads.

Tools Used:

  • Web Scraping: Selenium, BeautifulSoup
  • Search & Discovery: Brave API, Bing API, Google Places API
  • Data Structuring: OpenAI API (GPT-based NLP parsing)
  • Cloud Infrastructure: Azure Functions, Azure Blob Storage
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Improving Data Quality and User Efficiency Through Intelligent Deal Entry Design

Process Expertise: We reimagined our client’s Salesforce Deal Entry workflow by simplifying interfaces, embedding intelligent validations, and aligning form logic with real business rules. By replacing manual, error-prone steps with automated checks and guided flows, we significantly boosted both user efficiency and data quality.
Product Expertise: Our team leveraged deep knowledge of Salesforce’s Lightning platform to deliver a responsive, user-centric design powered by custom Lightning Web Components. From dynamic product lookups to real-time field updates, we ensured that each interaction within the Deal Entry form was optimized for accuracy and speed.
Technical Expertise: We combined multiple technologies—including LWC, Google Maps API, custom Apex logic, and real-time duplicate detection—to build a robust, intelligent data capture experience. The solution also featured dynamic UI rendering, address autocomplete, and auto-generated naming conventions, all designed to reduce human error and streamline submission flows.
Tools Used: The solution integrated Salesforce Lightning Web Components for dynamic UI rendering, Google Maps API for address validation and autocomplete, and custom Apex with validation rules for duplicate detection and naming standardization. We also implemented custom lookup components for enhanced vendor and referral searches, along with Salesforce Opportunity, Account, and Product objects to enable seamless data flow across records.
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