Summary
Vishnu Balakrishnan is a Postdoctoral Research Fellow at Harvard University with nine years of experience building real-time, scalable pipelines that convert petabyte-scale radio astronomy data into live discoveries. He has designed and deployed distributed pulsar search systems across multiple HPC clusters, leveraging Kafka, Nextflow, GPUs, and containerized workflows to enable low-latency, portable processing. As an ML engineer on the MeerKAT Galactic Plane Survey, he integrated deep learning into production signal-detection pipelines and contributed to the discovery of over 100 pulsars. His background spans end-to-end systems engineering, from CUDA-accelerated algorithms to reproducible HPC deployments, and he’s mentored several PhD and Master’s students in this startup-like development environment. Based in Boston, he blends astrophysics research with production-grade software practices, turning streaming instrument telemetry into scientific breakthroughs. An often-overlooked strength is his track record of coordinating inter-cluster communication to run parallel workflows reliably at astronomical scale.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Christ University, Bangalore
Doctor of Philosophy - PhD, Astrophysics, Doctor of Philosophy - PhD, Astrophysics at The University of Bonn