Carlos Iguaran
Statistical Computing Engineer
Buenos Aires, Autonomous City of Buenos Aires, Argentina
Summary
👤
Senior🎓
Top SchoolCarlos Iguaran is a Statistical Computing Engineer with 11 years of experience at the nexus of software engineering and Bayesian statistics, currently building constrained optimization and optimal experimental design features for a Bayesian Mix Marketing product using Stan and JAX. He blends research-first prototyping with production-grade engineering, taking ideas from literature review through experimentation to deployment, and has deep computational expertise in Bayesian inference—contributing Sequential Monte Carlo variants to BlackJax. Previously he shaped data products and engineering practices at RapidSOS and led ML engineering efforts at ASAPP, giving him strong end-to-end productization skills across Python, R, PyTorch, and cloud-native tooling. A UBA-trained computer scientist now pursuing advanced mathematical statistics, Carlos is as comfortable optimizing samplers as he is structuring reproducible data systems for mission-critical B2B applications. An understated strength is his teaching background in numerical methods, which informs a rigorous, numerically-minded approach to algorithm design and implementation.
11 years of coding experience
9 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Buenos Aires
English, Spanish
Github Skills (35)
bayesian-statistics10
variational-inference10
probabilistic-programming10
python10
sampling10
statistical-inference10
mcmc10
bayesian10
probabilistic-models10
probabilistic10
bayesian-inference10
modeling10
data-quality9
eda9
machine-learning9
Programming languages (4)
Github contributions (5)
ciguaran/pymc
Dec 2021 - Nov 2023
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
Contributions:2 PRs, 21 pushes, 6 branches in 1 year 10 months
pythonmachine-learningprobabilistic-programmingbayesian-statisticsprobabilistic-machine-learning
ciguaran/blackjax
Jul 2022 - Feb 2025
BlackJAX is a sampling library designed for ease of use, speed and modularity.
Contributions:129 pushes, 24 branches in 2 years 7 months
samplingspeedease-of-usemodularity
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