PROFILE
2026 · Portfolio
Computer Science Engineer
VINCENT
CORDOVA
Driven by curiosity and the pursuit of
rigorous, applied learning.
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Driven by curiosity and the pursuit of
rigorous, applied learning.
I'm a Computer Science engineer currently pursuing an MS at Colorado School of Mines. My background spans machine learning, full-stack development, parallel computing, and computer graphics.
I recently completed a full-stack internship at MSU Denver building a production mobile app used across campus, and I'm currently conducting independent research developing ML models for pipeline risk assessment in partnership with the Colorado ECMC.
I'm a two time hackathon winner, an Upsilon Pi Epsilon honors society member, and hold certificates in deep learning from NVIDIA and OpenCV. I'm driven by curiosity and the pursuit of rigorous, applied learning.
Quantitative ML model gauging oil & gas pipeline failure risk for the Colorado ECMC. Engineers risk factors from historical causal failure cases and trains on PHMSA regulatory data. Outputs integrate with a GIS-based scoring system for automated, scalable risk assessment.
Cross-platform mobile app for MSU Denver surfacing on-campus events in real time. AWS Lambda parses and tags 10+ events/sec at 99% accuracy via NLP; Flutter renders thousands of events across 100+ map placemarks. Backed by a custom REST API, Firebase auth, and 8 MongoDB models over 100K+ entries.
Step-wise AI tutoring tool grounded in proven study methods. Uses prompt engineering and RAG to keep LLM responses accurate, relevant, and safely constrained to course material.
Built and benchmarked an 8-core Raspberry Pi cluster achieving a 12.51× program speedup and 156% efficiency per core. Analyzed parallel programming patterns using MPI4PY and identified optimal parallelization use cases.
I'm open to interesting projects, full-time roles, and technical conversation. I'm always happy to make connections.
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