Robert Tenorio

Software Engineer at Saracen Energy

Virginia, United States
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Summary

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Robert Tenorio is a software engineer with 10 years of experience turning messy text, survey, and satellite data into interactive web tools and actionable analyses. He blends machine learning (neural nets, SVMs, clustering) and statistical methods with practical engineering—building RESTful APIs, real-time Angular front-ends, and MEAN-stack apps while provisioning AWS infrastructure for parallel geospatial preprocessing. His work spans organizations from the IMF to the World Bank and private firms, including a Nairobi real-time crash-mapping system that fused police reports, Tweets, and live sockets. Comfortable in R, Python, and JavaScript, he also automates data pipelines and deployed a Bayesian spatial interpolation and an SVM-based urban detector for satellite imagery. Based in Virginia, he focuses on tools that make complex analyses discoverable and shareable, with a knack for moving prototypes into production-grade systems.
code10 years of coding experience
job4 years of employment as a software developer
bookMaster of Arts - MA, Development Economics and International Development, Master of Arts - MA, Development Economics and International Development at The Johns Hopkins University - Paul H. Nitze School of Advanced International Studies (SAIS)
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Github Skills (16)

bookdown9
r9
knitr9
reducer8
rstudio8
science7
redux7
middleware7
dynamic7
reducers7
redux-dynamic-modules7
data-science6
machine-learning6
saga6
react6

Programming languages (2)

TypeScriptR

Github contributions (5)

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robtenorio/crash-dashboard

May 2018 - Jan 2019

shiny dashboard for nairobi crash map
Contributions:6 PRs, 12 pushes, 5 branches in 7 months
nairobishinymapcrash-mapdashboard
Contributions:11 commits, 10 pushes, 1 branch in 8 days
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