Hey, I'm Pablo Bello 👋

Founding engineer at Blai, an AI-powered crypto app that delivers personalized market intelligence and on-chain trade execution. Building the product end-to-end, from AI agents to frontend to infrastructure.

• Developing the multi-agent system powering 24/7 market intelligence and the conversational trading advisor
• Building the mobile app experience (iOS/Android) and core product features
• Architecting backend infrastructure for real-time market data, portfolio management and multi-chain execution

Contributed to a research paper on combating social media misinformation. I designed and built the core infrastructure for automated claim verification and evidence‑based response generation.

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

Engineered and deployed custom bots and automation systems for purchasing high-demand limited items (sneakers, event tickets, collectibles, etc.) in competitive online environments where speed and reliability determine success.

• Developed end-to-end purchase automation pipelines: real-time inventory monitoring, queue bypass, and checkout execution in milliseconds
• Reverse-engineered private APIs and implemented anti-detection techniques (CAPTCHA solving, TLS fingerprint control, proxy rotation...)
• Built high-speed monitors for product drops and stock changes across 30+ e-commerce platforms

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

Graduate program with primary focus on machine learning, computer vision, and natural language processing, with emphasis on building modern AI systems. Awarded a merit-based scholarship for academic excellence.

A solid foundation in computer science fundamentals, including algorithms, data structures, AI/ML, database systems, software engineering, and computer networks, among others.

• 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.