Anika Sharma, mlops engineer

Anika Sharma

Senior MLOps Engineer

Hyderabad, India · Asia/Kolkata (UTC+5:30) · 9 years of experience

Anika 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

Regulated Model Delivery Platform

consumer finance

Designed and delivered a production ML platform focused on feature and model platforms; reduced model release lead time from three weeks to four days with reusable promotion gates. The release included reproducible pipelines, promotion gates, lineage, drift alerts, and a documented rollback path.

PythonKubernetes

Feature Lineage Service

consumer finance 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

2023–Present

Devlyn client assignments · Remote

  • Led feature and model platforms delivery for a consumer finance team and reduced model release lead time from three weeks to four days with reusable promotion gates.

MLOps Engineer

2017–2022

consumer finance product company (confidential) · Hyderabad, India

  • Built production systems in consumer finance, 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

Python9 years
Kubernetes8 years
MLflow7 years
Terraform6 years
CI/CD9 years
Model Monitoring8 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

AWS Certified Machine Learning Engineer – Associate

Amazon Web Services · 2026 · Certified

Databricks Certified Machine Learning Professional

Databricks · 2025 · Certified

Communication

Languages

English

Fluent

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