Summary
Daniel Tellier is a software engineer based in California with eight years of experience building high-performance and safety-critical systems across aerospace and AI domains. He has driven measurable improvements at Northrop Grumman—cutting flight management system test time from 25 to 8 hours—and applied CUDA, MPI, and ML techniques to HPC and control problems. At Cisco he continues to work on complex software engineering challenges, bringing a strong background in automated testing, C++ code generation for avionics, and environment-agnostic ML pipelines. Comfortable in both research-driven internships and production engineering, he blends practical optimization skills with a curiosity for languages and simulation tools (he prototyped a programming language for NASA). Outside of work he’s an active climber and dancer, suggesting a balance of physical discipline and collaborative energy that informs his engineering approach.
9 years of coding experience
4 years of employment as a software developer
B.S. Computer Science, Computer Science, Overall GPA 3.6, B.S. Computer Science, Computer Science, Overall GPA 3.6 at California State University, Northridge