Summary
Evan Vera is a software engineer with nine years of experience who blends a strong math instinct with practical systems engineering to tackle socially meaningful problems. Currently at InstaLILY AI, he builds production ML infrastructure—from distributed task queues and continuous training pipelines to vector-augmented fuzzy search—and regularly engages with clients to translate technical capabilities into low-lift business solutions. His background includes high-performance and parallel computing work at Cornell, GPU and MPI-based numerical solvers, and published research from HPC and scientific internships, signaling comfort at the intersection of research and production code. Evan’s experience spans distributed systems, ML model fine-tuning/deployment, and authentication/multi-tenancy design, and he has a track record of turning algorithmic ideas into reliable, auditable services. Based in Monroe, CT, he’s as comfortable optimizing matrix kernels as he is presenting results to stakeholders, bringing both technical depth and clear communication to applied AI projects.
9 years of coding experience