Nicolas Iglesias
SRE Full-Stack Engineer at Freelance Contractor
Paraná, Entre Ríos Province, Argentina
Summary
👤
Senior🎓
Top SchoolNicolas Iglesias is an SRE Full-Stack Engineer with 13 years of experience building scalable cloud and web3 systems from architecture to UX. He has led AWS-native deployments, CI/CD and containerization for high-availability platforms and designed backends and real-time gateways for crypto and energy management products. Comfortable from low-level C++ threading to Python ML prototypes and frontend stacks (Remix/React/Tailwind), he repeatedly ships full products as founder, contractor and engineer. He mixes strong DevOps discipline with hands-on blockchain work—authoring multi-process Ethereum transaction analyzers and bridges for L2s—and experiments with LLMs and quantized models for resource-constrained inference. A creative autodidact, he once ran a 24h Fidonet BBS and produced electronic music that reached Argentina’s mp3.com Top 10, reflecting a long-standing blend of technical curiosity and product-minded creativity. Based in Paraná, Argentina, he currently drives SRE and full-stack efforts while running multiple side projects in ML, computer vision and music/MIDI integration.
13 years of coding experience
9 years of employment as a software developer
Machine Learning Engineer Inteligencia artificial, Machine Learning Engineer Inteligencia artificial at UdacityPosgrado Data Mining, Posgrado Data Mining at Universidad Tecnológica NacionalAutodidactaBachillerato Ciencias sociales, Bachillerato Ciencias sociales at Colegio Del Salvador
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (200)
pruning10
automation10
novnc10
ruby10
docker-compose10
fastlane10
arraybuffer10
cli10
adapter10
8-bit10
websockify10
pytorch10
ios10
generator10
attention-mechanism10
Programming languages (16)
Github contributions (5)
webpolis/angular-treecursive
Feb 2015 - Apr 2018
Contributions:1 PR, 5 pushes, 2 tags in 3 years 2 months
recursivecustomizableangulartypescriptrecursive-tree
webpolis/musai
Jun 2023 - Feb 2025
Machine learning-powered music generation. Full-featured tokenizer, customization options, and high-quality output files. Integration with music production tools.
Contributions:1 review, 13 PRs, 194 pushes in 1 year 7 months
deep-learninggenerative-artlarge-language-modelsllmmachine-learning
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