Summary
Overview
Work History
Education
Skills
Courses & Continued Education
Timeline
Generic

Isse Nur

Linkedin.com/in/issenur/,Github.com/hayetechnology

Summary

MLOps Engineer with 4+ years of experience building and supporting scalable MLOps platforms, data pipelines, and cloud-native applications. Skilled in Python, Kubernetes, Spark, Kafka, CI/CD, and production machine learning infrastructure.

Overview

4
4
years of professional experience

Work History

MLOps Engineer

Target
Minneapolis, Minnesota
07.2022 - 04.2026
  • Built and maintained enterprise MLOps platforms supporting large-scale machine learning forecasting pipelines.
  • Developed and deployed Python, Kotlin/Spring Boot, and Spark applications, APIs, and automation tools.
  • Designed and maintained CI/CD pipelines using GitHub, Docker, Kubernetes (TAP), and Vela.
  • Automated workflow orchestration and monitoring for production ML pipelines using Shepherd, REST APIs, OAuth, and Slack integrations.
  • Built and optimized Hive, Spark, and PostgreSQL data pipelines for feature engineering and forecast processing.
  • Developed and supported Kafka producers, consumers, and streaming workflows for real-time data ingestion.
  • Improved platform reliability through data validation, production troubleshooting, monitoring, and observability using OpenTelemetry, Prometheus, and Grafana.
  • Managed production deployments, dependency upgrades, security remediation (SCA), infrastructure access, and environment configuration across development, staging, and production environments.
  • Collaborated with cross-functional teams to deliver scalable, reliable, and secure machine learning infrastructure.

Education

Bachelor of Science - Computer Science

University of Minnesota (Transfered Senior Year)
Minneapolis, MN

Bachelor of Science - Computer Science

Metropolitan State University
Saint Paul, MN
12-2021

Skills

  • Languages: Python, Kotlin, Java, Scala, SQL, Bash
  • MLOps: CI/CD, Kubernetes, Docker, ML Platform Engineering, Workflow Orchestration
  • Data: Spark, Hive, Kafka, PostgreSQL, ETL
  • Frameworks & Tools: Spring Boot, Git, GitHub, REST APIs, OAuth, Poetry, Gradle
  • Monitoring: OpenTelemetry, Prometheus, Grafana
  • Testing: Pytest, Unit & Integration Testing

Courses & Continued Education

  • Machine Learning Specialization - Andrew Ng (In Progress)
  • Online Masters of Science in Analytics – In Progress
  • LeetCode: 100+ algorithm problems solved

Timeline

MLOps Engineer

Target
07.2022 - 04.2026

Bachelor of Science - Computer Science

University of Minnesota (Transfered Senior Year)

Bachelor of Science - Computer Science

Metropolitan State University
Isse Nur