Summary
Devashish Gaikwad is a software engineer and master's student with nine years of hands-on experience building reliable, resource-conscious systems across automotive, finance, and cloud domains. Currently pursuing a thesis at PADS on neuro-symbolic reasoning applied to process mining, he blends research curiosity with practical engineering. At Bosch he drove memory-profiling and CI automation across ARM Linux/QNX pipelines, and at Societe Generale he evaluated open-source alternatives and supported language-modeling experiments—demonstrating a knack for tooling that prevents regressions and accelerates validation. Comfortable across C++, Python, Go, Java and CI/CD ecosystems, he pairs low-level performance work with cloud and ML-related projects. Based in Aachen, Devashish also organizes technical forums for students, signaling an interest in tech-society dialogue beyond code.
9 years of coding experience