Jiho Lee
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Jiho Lee Email & Phone Number

On-site ML Research Platform DevOps Engineer / Kubestronaut / SW Maestro 13th at Mondrian AI
Location: South Korea, Korea, Republic of 4 work roles 1 school
1 work email found @mondrian.ai LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 86%

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Current company
Role
On-site ML Research Platform DevOps Engineer / Kubestronaut / SW Maestro 13th
Location
South Korea, Korea, Republic of
Company size

Who is Jiho Lee? Overview

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Quick answer

Jiho Lee is listed as On-site ML Research Platform DevOps Engineer / Kubestronaut / SW Maestro 13th at Mondrian AI, a with 9 employees, based in South Korea, Korea, Republic of. AeroLeads shows a work email signal at mondrian.ai and a matched LinkedIn profile for Jiho Lee.

Jiho Lee previously worked as DevOps Engineer at Mondrian Ai and Team Leader / Full Stack Developer at Sw Maestro. Jiho Lee holds Bachelor Of Engineering, Computer Engineering, Junior (Leave Of Absence) from Tech University Of Korea(Tukorea).

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Email format at Mondrian AI

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{first}{last}@mondrian.ai
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Profile bio

About Jiho Lee

Jiho Lee is a On-site ML Research Platform DevOps Engineer / Kubestronaut / SW Maestro 13th at Mondrian AI.

Current workplace

Jiho Lee's current company

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Mondrian AI
Mondrian Ai
On-site ML Research Platform DevOps Engineer / Kubestronaut / SW Maestro 13th
Website
Employees
9
AeroLeads page
4 roles

Jiho Lee work experience

A career timeline built from the work history available for this profile.

Devops Engineer

Current

* Served as the Core DevOps Engineer for the on-premises enterprise ML research platform, Yennefer* Delivered and managed the on-premises ML infrastructure service, AI Box- Deployed and operated the Kubernetes-based core platform (Yennefer) within a secure, closed-network environment for the Financial Supervisory Service’s unfair virtual asset trade analysis platform- Successfully recovered metadata after loss on a production Rook Ceph Mon, leveraging OSD Bluestore definitions- Integrated and maintained an external 400TB Ceph storage cluster with Kubernetes via Rook, including troubleshooting and issue resolution- Integrated and operated an integrated authentication system (Ory Kratos Identity Provider and Ory Hydra OAuth2 + OIDC Provider) within enterprise environments- Incorporated Intel Gaudi HPU systems, built and applied HPU-based environment preset images, and established demonstration environments- Managed Kubernetes-based products in enterprise environments- Implemented and operated highly available Postgres environments using CloudNativePGDeployed and managed Thanos-based HA Prometheus environments- Established and maintained object storage within enterprise solutions using Rook Ceph RGW

Apr 2023 - Present

Team Leader / Full Stack Developer

* Served as Team Leader of So1s, a venture project under the Upstage-led Software Maestro program* Designed and developed So1s, a Kubernetes-based framework for deploying and managing real-time ML model inference APIs* Developed Helm Chart-based deployments- Integrated Prometheus sharding, Kiali-based traffic tracing, and Nix-based provisioning scriptsMigrated AWS CloudWatch to ElasticSearch and optimized logging with Fluent Bit- Automated DNS updates via external-dns and Route 53- Implemented wildcard DNS and Istio routing, reducing ELB costs from $226 to $4/monthBack-Office Frontend* Developed a Back-Office Frontend- Led frontend development (73.3% code contribution)- Created Figma-based UI mockups and TypeScript-based React Router v6 structures- Implemented a Data Fetcher Hook to abstract API calls and state management- Adopted fp-ts for functional programming practices- Established a scalable, maintainable, and efficient frontend environment* Built a Spring Boot-based API Server (contributed 54.1% of the codebase)- Implemented JJWT-based authentication with SecurityContextHolder and OncePerRequestFilter- Utilized @Lazy/@Transactional and Mockito @Spybean for clean architecture and testability- Incorporated Docker registry secrets, symmetric encryption, and OpenAPI 3.0 documentation- Developed QueryDSL-based fetch joins for efficient data access- Enabled Istio-based A/B/n testing and upgraded Helm charts to address traffic weight issues- Conducted Locust-based cluster load testing and performed comprehensive results analysis- Open-sourced the project with detailed installation instructions and documentation

Apr 2022 - Nov 2022

Full Stack Developer

Sroad Inc.

* Served as the Core Full Stack Developer for an ML-based data labeling platform that automated image labeling, verification, and monitoring- Developed the frontend of the labeling system- Optimized Webpack builds from 46 seconds to under 4 seconds (11x improvement on M1 Pro)- Implemented a custom React hook to automate the issuance and renewal workflow of JWT Access and Refresh Tokens- Built a WYSIWYG editor with React-Konva, enabling users to view images and detected objects, and modify, delete, or create data structures directly on a Canvas- Developed a Django-based API server- Ported batch labeling tasks into Celery Worker Jobs, utilizing torch.multiprocessing.Pool for parallelization and asynchronous processing- Employed Channels and WebSocket protocols for real-time frontend updates during batch labelingResolved ORM N+1 query issues using select_related and prefetch_related- Containerized and integrated the open-source web crawler AutoCrawler with Celery and Docker, and adapted it to upload data through the Django ORM- Addressed ARM64 architecture compatibility problems with Ubuntu Chromium packages by contributing to a Stack Overflow solution and implementing the fix- Introduced incremental backend unit testing and property-based testing- Established a Kubernetes-based deployment environment- Automated deployment processes using GitHub Actions and kubectl- Containerized the test environment with Docker Compose on GitHub Actions

Jul 2021 - Feb 2022

Frontend Developer

* Served as the Core Developer on vSOC (Vehicles Security Operations Center)* Served as the Core Frontend Developer on V2G PKI (Public Key Infrastructure for Connected Vehicles)

Apr 2021 - Jun 2021
Team & coworkers

Colleagues at Mondrian AI

Other employees you can reach at mondrian.ai. View company contacts for 9 employees →

1 education record

Jiho Lee education

FAQ

Frequently asked questions about Jiho Lee

Quick answers generated from the profile data available on this page.

What company does Jiho Lee work for?

Jiho Lee works for Mondrian AI.

What is Jiho Lee's role at Mondrian AI?

Jiho Lee is listed as On-site ML Research Platform DevOps Engineer / Kubestronaut / SW Maestro 13th at Mondrian AI.

What is Jiho Lee's email address?

AeroLeads has found 1 work email signal at @mondrian.ai for Jiho Lee at Mondrian AI.

Where is Jiho Lee based?

Jiho Lee is based in South Korea, Korea, Republic of while working with Mondrian AI.

What companies has Jiho Lee worked for?

Jiho Lee has worked for Mondrian Ai, Sw Maestro, Sroad Inc., and Autocrypt.

Who are Jiho Lee's colleagues at Mondrian AI?

Jiho Lee's colleagues at Mondrian AI include Yohi Villafañe, Saehee Whang, 김다운, Hanjoo Kim, and Sangku Kwak.

How can I contact Jiho Lee?

You can use AeroLeads to view verified contact signals for Jiho Lee at Mondrian AI, including work email, phone, and LinkedIn data when available.

What schools did Jiho Lee attend?

Jiho Lee holds Bachelor Of Engineering, Computer Engineering, Junior (Leave Of Absence) from Tech University Of Korea(Tukorea).

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