Jeevan Rajagopal
Machine Learning Infrastructure Engineer at Metropolis Technologies
Norfolk, Virginia, United States
Summary
👤
Senior🎓
Top SchoolJeevan Rajagopal is a Machine Learning Infrastructure Engineer with a decade of experience building production-ready ML pipelines and infrastructure. Based in Norfolk, VA, he currently leads development of custom training pipelines at Metropolis Technologies, automating provisioning with Terraform and AWS SageMaker and implementing GPU orchestration via Ansible and Docker. He pairs hands-on tooling (MLflow, Hydra, Pytest) with clear client-facing communication to align expectations and reduce onboarding time—his documentation updates cut new-hire ramp-up by 30%. Persistent and pragmatic, he redesigns legacy code when specs change and seeks novel approaches when standard methods fall short. His background ranges from field roles at Drone Amplified to research and teaching at the University of Nebraska–Lincoln, giving him a strong mix of applied ML, DevOps, and academic rigor.
10 years of coding experience
3 years of employment as a software developer
Master's degree, Master's degree at University of Nebraska-Lincoln
Japanese
Github Skills (12)
voice9
converter8
conversational-ai5
audio-analysis5
voice-conversion4
pytorch4
realtime4
segmentation4
deep-learning3
serve3
instance-segmentation3
linux1
Programming languages (1)
Github contributions (5)
blackhole077/DnD-Random-Character-Generator
May 2018 - Jul 2022
Contributions:39 pushes, 6 branches in 4 years 2 months
blackhole077/DnD-Item-Name-Generator
Jan 2020 - Sep 2020
Contributions:9 commits, 3 pushes, 1 branch in 8 months
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