AI-Powered Lead Scoring & ETL Data Aggregation System (Radar)

Architected and deployed an automated data pipeline and scoring engine designed to aggregate, filter, and score freelance and job opportunities in real-time.

Key Achievements & Architecture:
• Data Ingestion & Filtering: Built targeted parsers to extract data from multiple platforms, utilizing regular expressions and linguistic scrapers to instantly filter out noise and spam.
• AI Scoring Engine: Implemented a matching algorithm that compares job descriptions against predefined technical stack matrices, calculating a match-probability metric for each lead.
• Automated Delivery: Integrated automated routing to synthesize the best opportunities, complete with suggested bidding strategies, directly into Telegram notifications.
• Reliable Backend: Powered by Python and SQLite, ensuring lightweight, fast, and fault-tolerant operation.

This system showcases my expertise in building high-throughput ETL pipelines, working with raw unstructured data, and applying automated decision-making to optimize business processes.