Summary
Akhilesh Halageri is a Research Programmer with 11 years of experience designing scalable applications, containers, orchestrators, and distributed systems, currently building crowd-sourced proofreading and analysis platforms for connectomics at Princeton University. He blends academic rigor from a CS master’s at USC with hands-on engineering, contributing remote tooling at Zetta.AI to speed deep learning training and inference workflows. His background spans production front-end work and unsupervised ML at Intel, healthcare data pipelines at Keck Medicine, and early GDS quality assurance, giving him a broad systems-to-ML perspective. Based in New Jersey, he focuses on developer productivity and operational robustness, and maintains an active GitHub presence (github.com/akhileshh) that reflects his interest in tooling and reproducible ML infrastructure.
11 years of coding experience
2 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of Southern California
Bachelor of Engineering (BE), Computer Science, Bachelor of Engineering (BE), Computer Science at The National Institute Of Engineering, Mysore
Kannada, Hindi, English