I’m a Data and AI Engineer with a uniquely accelerated background. I entered university at 15 years old to study Naval Engineering and later specialized in Finance, which gave me a strong analytical foundation early in life. Over the years, I transitioned into technology and built a career focused on data engineering, automation, and applied AI.
I have deep experience designing scalable data pipelines, building workflow automation systems, and developing LLM-powered tools that support real operations. I’ve led projects involving Python, SQL, cloud infrastructure, APIs, vector databases, and GenAI applications, always with a focus on reliability, simplicity, and impact.
What makes me unique is the combination of early academic maturity, cross-disciplinary expertise, and hands-on engineering experience across analytics, AI, and automation. I’m looking for roles where I can build high-leverage systems, ship real products, and contribute meaningfully to teams solving complex, data-driven problems at scale.
No employment history.
No education history.