Hey, I'm Pablo Bello 👋

Contributing to a research paper on combating social media misinformation. I'm designing and building the core infrastructure for automated claim verification and evidence‑based response generation.

• Engineering a Retrieval‑Augmented Generation (RAG) pipeline to perform automated claim verification on posts flagged as potential misinformation
• Building a scalable vector knowledge base using FAISS to index thousands of fact‑checked claims, enabling real‑time semantic search for evidence retrieval
• Integrating Large Language Models (LLMs) to synthesize retrieved evidence and generate concise, accurate rebuttal messages with source citations
• Developing data ingestion and end‑to‑end evaluation scripts to ensure the system's robustness and accuracy

I design and build custom software solutions with a focus on high‑throughput process automation in competitive web environments. My work centers on engineering systems that operate with speed, reliability, and precision under massive traffic.

• Engineered and deployed purchase‑automation bots for leading e‑commerce platforms, covering the full flow from product monitoring to checkout in milliseconds
• Implemented advanced anti‑bot evasion: CAPTCHA solving, browser‑fingerprint controls, and virtual‑queue navigation
• Created high‑speed monitors for drops and stock changes in real time using web scraping and reverse‑engineering of private APIs
• Managed network infrastructure with residential/datacenter proxy rotation to ensure high availability and avoid blocks

Contributed to the modernization of CENPOS, a large-scale healthcare management platform. Focus on backend optimizations to improve scalability and data processing speed for critical operations.

• Optimized and refactored microservices with J2EE and Spring, reducing average API response time by 30% and improving overall performance
• Engineered a high‑performance search solution with Elasticsearch, cutting average query latency from several seconds to under 200ms for complex datasets

Master's in Artificial Intelligence. A graduate program centered on the theory and practical application of modern artificial intelligence. Awarded a merit-based scholarship for academic excellence.

Bachelor's in Computer Science. A solid foundation in computer science fundamentals, including algorithms, data structures, database systems, software engineering principles, computer networks, and operating systems.

• Ranked in the top 10% of the Computer Science School for outstanding academic performance.
• Thesis with Distinction (9.8/10): Developed 'Fake News Detector', a full-stack AI platform to combat social media misinformation.