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Hi, I’m Simon Rendon Arango, a Software and Machine Learning Engineer passionate about building intelligent systems that turn complex data into actionable insights. I hold an MSc in Computing (Software Engineering) from Imperial College London and a BSc in Systems and Computing Engineering from Universidad de los Andes. My professional journey spans startups and fintech, where I’ve designed AI-driven KPI extraction modules, developed scalable backend services, and built user-facing products at companies like Untap, Glamper, and Nequi (Bancolombia).
I’m also a curious creator, constantly exploring new technologies and side projects at the intersection of AI, data, and design. I thrive in fast-paced, collaborative environments where ambitious ideas meet rigorous execution — and I’m always looking for opportunities to push the boundaries of what’s possible with software and machine learning.
Undergraduate thesis predicting race winners across seasons with ~93% accuracy.
Master’s thesis: Deep learning anomaly detection on performance counters integrated into CI.
LLM-based system that extractys KPIs, targets and metrics from financial documents.
Reach out for roles, collaborations, or interesting problems.