Malav, mlops engineer

Malav

MLOps Engineer

Da Nang, Vietnam · Asia/Ho_Chi_Minh (UTC+7) · 6 years of experience

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

Request a shortlist

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

Fraud Model Serving Gateway

digital payments

Designed and delivered a production ML platform focused on fraud-model serving; delivered sub-80ms p95 inference with automated shadow and canary validation. The release included reproducible pipelines, promotion gates, lineage, drift alerts, and a documented rollback path.

PythonKubernetes

Shadow Deployment Evaluator

digital payments 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
View more profile detail →

Relevant experience

Career timeline

MLOps Engineer

2024–Present

Devlyn client assignments · Remote

  • Led fraud-model serving delivery for a digital payments team and delivered sub-80ms p95 inference with automated shadow and canary validation.

React Developer

Apr 2023–Present

ViitorCloud Technologies · Da Nang, Vietnam

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

React Developer

Mar 2022–Apr 2023

Innovura Technologies Private Limited · Da Nang, Vietnam

  • Built production systems in digital payments, 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

Python6 years
Kubernetes5 years
MLflow4 years
Terraform3 years
CI/CD6 years
Model Monitoring5 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

Google Cloud Professional Machine Learning Engineer

Google Cloud · 2025 · Certified

Google Cloud Professional Cloud DevOps Engineer

Google Cloud · 2024 · Certified

Communication

Languages

English

Fluent

More examples

Similar MLOps Engineer profiles.