Freelance Engineer

Cloud, AI & MLOps Engineering

I build scalable, cost-efficient cloud infrastructures and production-ready ML/data pipelines.

AWS Azure Terraform Python Databricks Docker

About

I'm a freelance cloud, software and MLOps engineer focused on production systems: cloud infrastructure, data pipelines, CI/CD and monitoring.

I design and implement robust, cost-efficient cloud architectures for data-intensive and ML workloads. I work with Terraform, Python, Docker and GitHub Actions on AWS, Azure and Databricks.

B.Sc. Engineering Business Information Systems (top grade)

Experience includes building large ML infrastructures at BOSCH.

AWS Certifications

AWS Solutions Architect

Associate

AWS Data Engineer

Associate

AWS AI Practitioner

Services

From initial consulting through MVP development to ongoing operations — I support projects end-to-end or step in where needed.

Software Engineering for AI/ML

Building production-ready AI services and applications. Python, APIs, microservices, event-driven architectures.

AI Agents & Platforms

Agentic AI, multi-agent systems, context engineering. Skill frameworks and enterprise integrations.

Cloud Engineering & Infrastructure

IaC with Terraform for multi-account/multi-region setups, networking, IAM, container platforms and cost optimization.

MLOps & CI/CD

Model registries, automated training/inference pipelines, GitHub Actions, canary releases, blue/green deployments.

Data Engineering & Lakehouse

Databricks / Delta Lake design, Spark/PySpark ETL/ELT, data cataloging, quality monitoring.

Observability & Operations

Logging/tracing, alerts & runbooks, SLO/SLI definitions, incident playbooks.

Selected Projects

BOSCH

Multi-tenant inference & data pipelines; Databricks lakehouse, Spark ETL.

Azure Databricks Spark Delta Lake

Neural Automated Labeling

Featured

Cloud orchestration, scalable batch pipelines, custom AMIs/container images for automated 3D labeling.

AWS Batch Terraform Docker GPU/CUDA

R. STAHL AG

AI platform: Secure infrastructure, skill frameworks for enterprise integrations.

Agentic AI Multi-Agent Context Engineering

Serverless Analytics

Time-series analytics with scalable Lambda workloads and event-driven architecture.

AWS Lambda Serverless Time-Series

How I Work

Discovery

1–2 sessions, define goals & acceptance criteria

MVP Planning

Minimal production scope with milestones

Implementation

Iterative sprints, IaC, automated tests

Operations

Observability, runbooks, handover & optional support

Security by Design

Cost Efficiency

Reproducibility

MVP Focus

Skills & Tools

Languages

Python SQL Bash

Cloud

AWS Azure Databricks

Infra & DevOps

Terraform Docker GitHub Actions CI/CD

Data & MLOps

Delta Lake Spark/PySpark ETL/ELT Model Registry Model Deployment Model Monitoring

AI & LLM

Agentic AI Context Engineering RAG Tool Use Prompt Engineering

Observability

CloudWatch Azure Log Analytics

Contact

Interested in cloud architecture or MLOps optimization?

anton@antonroesler.com +49 1573 1326428