Lorenzo Urera is an Artificial Intelligence Engineer with six years of experience at the intersection of data science, algorithmic trading, and fintech, grounded in a BS in Industrial Management Engineering with a Minor in IT from De La Salle University. He has delivered data platforms and DataOps solutions for enterprise retainers, built and maintained market-making engines at a post-Series B crypto exchange, and consults for startups and family offices on quant research, portfolio management, and automation. Technically fluent in Python and cloud deployments (GCP, AWS), he routinely handles terabyte-scale datasets from SQL/NoSQL, REST, and FIX sources and is currently expanding his systems skills by learning Rust. Lorenzo combines business-minded rigour with hands-on engineering—creating internal tooling for observability, risk control, and productivity that directly improved trading operations. Outside of client work he runs fully automated quantitative strategies for his own portfolio and consults on live deployments across FX, centralized and on-chain crypto, and equities. He decompresses by playing guitar or golfing, a hint at his disciplined but creative approach to problem solving.
6 years of coding experience
2 years of employment as a software developer
BS Industrial Management Engineering - Minor in Information Technology, Industrial Engineering, BS Industrial Management Engineering - Minor in Information Technology, Industrial Engineering at De La Salle University
This script continuously scans a Solana wallet for SPL tokens and tracks their age (time held) in seconds. Once a certain time has elapsed it will sell the token on raydium or pumpfun.
Contributions:1 review, 2 PRs, 15 pushes in 1 year 7 months
Contributions:31 pushes, 4 comments, 11 issues in 28 days
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