Ketul, mlops engineer

Ketul

Senior MLOps Engineer

Zagreb, Croatia · Europe/Zagreb (UTC+2) · 8 years of experience

Ketul focuses on reproducible model delivery, promotion controls, observability, and rollback.

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Why this profile fits

Reproducible model delivery

Versions code, data references, configuration, and artifacts so training and promotion can be repeated and audited.

Safe promotion and rollback

Uses evaluation gates, staged rollout, lineage, and a tested rollback path for model changes.

Operational measurement

Monitors service health, data quality, drift, cost, and model behavior with clear ownership.

Relevant toolkit

PythonKubernetesMLflowTerraformCI/CD

Delivery evidence

Selected work

Edge Vision Release System

manufacturing quality

Designed and delivered a production ML platform focused on computer-vision operations; held inference availability above 99.9% across 42 edge production lines. The release included reproducible pipelines, promotion gates, lineage, drift alerts, and a documented rollback path.

PythonKubernetes

Factory Drift Monitor

manufacturing quality operations

Built the supporting control and measurement layer for the primary system, covering review queues, regression checks, operational visibility, and a documented handoff to the owning team.

PythonTerraform
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Relevant experience

Career timeline

Senior MLOps Engineer

2024–Present

Devlyn client assignments · Remote

  • Led computer-vision operations delivery for a manufacturing quality team and held inference availability above 99.9% across 42 edge production lines.

System Network Administrator

May 2022–Present

ViitorCloud Technologies · Zagreb, Croatia

  • Built production systems in manufacturing quality, with increasing ownership of reliability, testing, and stakeholder delivery.

Information Technology Administrator

Nov 2018–Apr 2022

Kadi Sarva Vishwavidyalaya, Gandhinagar · Zagreb, Croatia

  • Built production systems in manufacturing quality, with increasing ownership of reliability, testing, and stakeholder delivery.

Skill depth

Show experience in context.

VerbalCommunicationDomainUnderstandingProblemSolvingCodeQualitySystemDesignDeliverySpeed
Competency shapeAssessment across the same six dimensions used for every profile.

Relevant experience by skill

Python8 years
Kubernetes7 years
MLflow6 years
Terraform5 years
CI/CD8 years
Model Monitoring7 years
See the complete skill index

Languages

PythonTypeScriptSQLBash

Frameworks

KubernetesMLflowTerraformKubeflowAirflowDocker

Tools

Argo CDPrometheusGreat ExpectationsGitHub ActionsDocker

Platforms

AWS SageMakerGoogle Vertex AIDatabricksKubernetes

Storage

S3Feature StoreDelta LakePostgreSQL

Paradigms

Model lifecycle automationGitOpsDrift monitoringReproducible training

Credentials

Certifications

Databricks Certified Machine Learning Professional

Databricks · 2024 · Certified

Certified Kubernetes Administrator

Cloud Native Computing Foundation · 2023 · Certified

Communication

Languages

English

Fluent

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