Summary
Jordan Force is a software engineer with a decade of hands-on experience building cloud-native applications and research-backed ML tools. Currently at Civicom, he develops AWS containerized platforms integrating HAPI FHIR, RDS, CloudFormation and React to streamline virtual health assistant workflows, and has migrated TensorFlow 1.x code to TF 2.0. His background blends practical systems programming (C/C++), web backend work in Java EE and Python, and bioinformatics research—his MS thesis applied machine learning to improve detection of MHC-I presented peptides. Comfortable across the stack, he has optimized high-throughput data pipelines and memory-constrained visualizations, and he enjoys translating academic ML advances into production-quality software. Based in Stamford, CT, he’s finishing his MS and looking for roles that bridge healthcare data, ML, and scalable cloud systems.
10 years of coding experience
9 years of employment as a software developer
Masters, Computer Science and Engineering, Masters, Computer Science and Engineering at University of Connecticut