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Rodrigo Flores Bertolotti

Rodrigo Flores Bertolotti

AI systems builder — data pipelines and LLM reliability.

CS undergraduate building AI systems: a speech-to-text pipeline at Mibanco (Credicorp), LLM-reliability research at OSU’s TRUE AI Lab, and tools of my own.

Resume PDF Email github.com/rfbert linkedin.com/in/rodrigo-bertolotti

B.S. Computer Science, Oregon State University — completes June 2028. GPA 4.0, Honors Scholar Track B. Area of Specialization: Artificial Intelligence and Scalable Computing, an approved 34-credit custom area taken through OSU’s Accelerated Master’s Program.

Specialization — Artificial Intelligence and Scalable Computing: Machine Learning, Deep Learning, Computer Vision I, Big Ideas in AI, Algorithms (Design, Analysis and Implementation), Parallel Programming, Cloud Application Development, Intro to Artificial Intelligence · Also: Computer Architecture & Assembly Language, Data Structures, Algorithms, Calculus I–III, Linear Algebra, Discrete Mathematics, Statistics · Fall 2026: Intro to AI, Intro to Databases, Software Engineering I, Web Development.

'R' = 0x52 bit 4 — flipped, caught by parity

One byte plus a single check bit. Flip one bit and the parity disagrees, so the fault is caught — one check bit can see a flip but not locate it, and correcting needs locating. Flip two and the parity agrees again: the word is wrong and still looks fine. Real memory ECC spends extra bits on that case; my research catches what still gets past it, at the model's output.

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