Manuel Camargo
Software Engineering SMTS at Salesforce
Finland
Summary
👤
Senior🎓
Top SchoolManuel Camargo is a Software Engineering SMTS based in Finland with eight years of experience blending research-driven rigor and practical engineering to design scalable IT and communications architectures. He moved from academic research roles into industry, rapidly progressing at Apromore before joining Salesforce, demonstrating an ability to translate complex process-mining and research insights into production software. Manuel focuses on aligning business strategy with IT innovation, favoring unconventional solutions to thorny operational challenges and helping organizations adapt and grow. His background includes PhD-level research and hands-on development across Ruby on Rails, .NET automation, and enterprise testing, giving him both theoretical depth and pragmatic delivery skills. An understated strength is his track record of coordinating cross-organizational projects and turning research outcomes into collaborative, product-focused implementations.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Computer Sciences, Doctor of Philosophy - PhD Computer Sciences at University of Tartu Institute of Computer ScienceIngeniero de Sistemas Ingeniería informática, Ingeniero de Sistemas Ingeniería informática at Universidad Distrital Francisco José de CaldasUniversidad de los Andes
Spanish, English, German
Github Skills (19)
lstm-neural-networks10
process-mining10
generative10
business-process-management9
discovery9
lstm8
simulate8
python7
deep-learning6
machine-learning6
pytorch6
predictive4
evaluation3
benchmarking3
hybrid3
Programming languages (1)
Github contributions (5)
AdaptiveBProcess/GenerativeLSTM
Mar 2019 - Feb 2021
Learning Accurate Generative Models of Business Processes With LSTM Neural Networks
Contributions:2 releases, 3 reviews, 65 commits in 1 year 11 months
pytorchlstm-neural-networksdeep-learninglstmneural-networks
AdaptiveBProcess/DeepSimulator
Mar 2021 - Dec 2022
DeepSimulator is a hybrid tool between DDS and DL techniques to simulate business processes
Contributions:1 release, 1 review, 10 commits in 1 year 9 months
techniquesdeep-learningdata-driven-simulationhybridprocess-mining
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