Summary
John Strong is a statistical programmer and nearshore software consultancy owner with nine years of recent focused experience in signal analysis, LSTM-based spoofing detection, and applied machine learning for finance and research. He combines deep systems and driver-level expertise from long tenures at IBM and Microsoft with hands-on Excel VBA, Salesforce, and full-stack development through EtherPros. His work spans academic teaching in compiler theory and computational linguistics to practical algorithmic trading using clustering, Kalman filters, PCA, and LSTMs. At SOFWERX he applies cross-correlation matrices and recurrent nets to real-world receiver data, while his consulting practice automates complex financial and medical reporting workflows. Certified in Visual Basic, SAS, and Salesforce and a graduate of Udacity’s ML Nanodegree, he blends low-level systems rigor with modern ML and data engineering. An oft-overlooked strength is his ability to translate dense technical domains into clear documentation and reproducible tools, honed during eight years authoring the Windows Driver Kit.
8 years of coding experience
7 years of employment as a software developer
Masters of Science, Computer Science, Masters of Science, Computer Science at The University of Texas at Dallas
Bachelors, Physics, Bachelors, Physics at University of Tennessee-Knoxville
English, Spanish, French, German