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Jeevan Rajagopal Email & Phone Number
Machine Learning Infrastructure Engineer
at
Metropolis Technologies
1 work email found
@metropolis.io
LinkedIn matched
✓ Verified July 2026
4 data sources
Profile completeness 100%
Current company
Role
Machine Learning Infrastructure Engineer
Location
Norfolk, Virginia, United States
Who is Jeevan Rajagopal? Overview
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Quick answer
Jeevan Rajagopal is listed as Machine Learning Infrastructure Engineer at Metropolis Technologies, based in Norfolk, Virginia, United States. AeroLeads shows a work email signal at metropolis.io and a matched LinkedIn profile for Jeevan Rajagopal.
Jeevan Rajagopal previously worked as Machine Learning Specialist at Drone Amplified and Software Engineer Intern at Rentvision. Jeevan Rajagopal holds Master'S Degree from University Of Nebraska-Lincoln.
Company email context
Email format at Metropolis Technologies
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{first_initial}{last}@metropolis.io
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AeroLeads found 1 current-domain work email signal for Jeevan Rajagopal. Compare company email patterns before reaching out.
Profile bio
About Jeevan Rajagopal
I am a Machine Learning Infrastructure Engineer working at Metropolis Technologies in Norfolk, Virginia.My key strengths are transparent communication with both colleagues and clients to ensure expectations are set and managed accordingly and persistence in the face of unexpected difficulties, such as having to re-design older code in the face of new specifications and finding new methods when existing work fails to produce the desired result.A core belief of mine is ensuring that the client works closely with developers so that solutions are well-understood and line up with the client's vision, as it deepens the trust future clients will have in your abilities as a developer.
Listed skills include Pandas, Deep Neural Networks, Data Science, C, and 27 others.
Current workplace
Jeevan Rajagopal's current company
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8 roles
Jeevan Rajagopal work experience
A career timeline built from the work history available for this profile.
Machine Learning Infrastructure Engineer
• Advanced development of custom training pipeline using Python, MLflow and Hydra• Automated provisioning of training pipeline infrastructure using Terraform and AWS Sagemaker• Created GPU provisioning protocols using Ansible and Docker• Added unit testing and documentation for existing code using Pytest• Updated operation manuals for multiple projects, reducing new employee onboarding time by 30%
Machine Learning Specialist
Jan 2021 - Sep 2022
Software Engineer Intern
Jan 2020 - Oct 2020
Graduate Teaching Assistant
Jan 2018 - Jan 2020
Student Cybersecurity Researcher
May 2019 - Jul 2019
Web Developer And Aquaponics System Develope
Jun 2017 - Aug 2017
Web Developer
May 2016 - Aug 2016
2 education records
Jeevan Rajagopal education
Master'S Degree
Bachelor'S Degree
FAQ
Frequently asked questions about Jeevan Rajagopal
Quick answers generated from the profile data available on this page.
What company does Jeevan Rajagopal work for?
Jeevan Rajagopal works for Metropolis Technologies.
What is Jeevan Rajagopal's role at Metropolis Technologies?
Jeevan Rajagopal is listed as Machine Learning Infrastructure Engineer at Metropolis Technologies.
What is Jeevan Rajagopal's email address?
AeroLeads has found 1 work email signal at @metropolis.io for Jeevan Rajagopal at Metropolis Technologies.
Where is Jeevan Rajagopal based?
Jeevan Rajagopal is based in Norfolk, Virginia, United States while working with Metropolis Technologies.
What companies has Jeevan Rajagopal worked for?
Jeevan Rajagopal has worked for Metropolis Technologies, Drone Amplified, Rentvision, University Of Nebraska-Lincoln, and Nebraska 4-H Fondation.
How can I contact Jeevan Rajagopal?
You can use AeroLeads to view verified contact signals for Jeevan Rajagopal at Metropolis Technologies, including work email, phone, and LinkedIn data when available.
What schools did Jeevan Rajagopal attend?
Jeevan Rajagopal holds Master'S Degree from University Of Nebraska-Lincoln.
What skills is Jeevan Rajagopal known for?
Jeevan Rajagopal is listed with skills including Pandas, Deep Neural Networks, Data Science, C, Reinforcement Learning, Keras, Tensorflow, and Recurrent Neural Networks.
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