Decision dossier

Sandro Wrzalek

A short briefing for hiring decisions.

Executive summary

Machine learning engineer building reliable AI applications, production-grade Python software, and platform solutions for data-intensive systems across cloud and on-premises environments.

AI Engineering Data Platforms Software Development Cloud Delivery

Decision signals

  • Stabilizes prototypes into maintainable production systems.
  • Leads technical direction for AI and platform initiatives.
  • Works across AI, data, cloud, and software delivery without losing operational focus.
  • Collaborates effectively with technical and business stakeholders.

Open to relevant conversations

Share the role, context, and why it may fit. I follow up selectively when there is a strong match.

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Evidence at a glance

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Experience Roles, companies, and impact over time. 3 roles

Senior Consultant

Machine Learning Reply Since Apr 2026
  • Stabilized and modernized an AI-assisted manufacturing quality-reporting application by refactoring fragile code, improving cloud infrastructure, introducing containerized deployment, and strengthening CI/CD automation across environments.
  • Worked with stakeholders to shape the architecture of enterprise AI and platform solutions, helping early-stage concepts mature into reliable production implementations.
  • Co-developed the architecture and implementation direction of an internal enterprise AI workflow platform designed for governed, repeatable customer deployment.
  • Conducts technical interviews and mentors colleagues through structured knowledge sharing across the engineering practice.

Consultant

Machine Learning Reply Mar 2023 - Mar 2026
  • Served as technical lead on an internal AI platform initiative, leading the team in shaping its architecture and implementation direction.
  • Built and improved enterprise customer solutions across data engineering, machine learning, and cloud infrastructure, combining hands-on implementation with close client collaboration.
  • Contributed to internal engineering-quality initiatives that improved development practices and code quality across the consulting practice.
  • Supported proposal work by helping shape technical solution approaches for new client engagements.

Associate Consultant

b.telligent Jan 2022 - Feb 2023
  • Served as a core developer of an internal machine learning deployment framework, building key functionality and helping teams adopt, deploy, and use it effectively.
  • Operated and improved more than 150 analytical applications across on-premises and cloud environments, including their migration to Azure.
  • Built predictive models and recommendation logic to improve customer interaction strategies, including hotline prediction and tariff recommendations.
Project Proof Selected projects with context and results. 5 projects

AI-Assisted Manufacturing Quality Reporting Application

AI Application Engineer Manufacturing 9 months

Turned an AI-assisted reporting application from proof of concept into a stable production solution for quality assurance teams, while continuing to extend it through close stakeholder collaboration.

Python TypeScript Azure Databases & Storage Docker CI/CD Pipelines

AI Agent Orchestration Platform

Technical Lead Developer Tools 9 months

Led the technical development of a cloud-native platform for deploying and orchestrating AI agents that automate developer-facing workflows.

Python AWS Terraform Docker GitHub

In-House ML Deployment Framework Development

Software Developer Telecommunications 5 months

Developed and improved an internal Python framework used across departments to standardize the deployment and operation of business-critical machine learning applications.

Python SQL Databricks CI/CD Pipelines Azure

Automated Data Pipeline Integration and Warehousing Solution

Data Engineer Insurance 25 months

Led the greenfield development of a Python-based ingestion and data integration solution for Azure analytics workflows, turning complex source data into a reliable downstream pipeline.

Python SQL Terraform Azure CI/CD Pipelines

Contact Optimization for Improved Customer Interactions

Data Scientist Telecommunications 15 months

Built predictive models and recommendation logic to improve customer interaction strategies while refactoring an existing application for better maintainability and performance.

Python Machine Learning Databricks SQL
View full project index
Skills & Languages Technical capabilities and working languages. 32 skills

Skills

Programming

Python, JavaScript, Bash

AI Engineering

Prompt engineering, Agent Workflows, AI Workflow Orchestration, MCP Development, AI Skill Development

Cloud Platforms

Microsoft Azure, Amazon Web Services (AWS)

Data Platforms & Warehousing

Databricks, Azure Synapse, Spark SQL

Databases & SQL

PostgreSQL, MySQL, PL/SQL

Machine Learning & Data Science

Statistical Analysis, Time Series Forecasting, Classification Models, Recommendation Systems, Feature Engineering

Infrastructure & Containerization

Terraform, Ansible, Docker, Docker Compose, Nginx, Traefik

Version Control & CI/CD

Git, GitHub, GitLab, Azure DevOps, GitHub Actions

Languages

German

C2

English

C1

Polish

B2

Certifications & Education Credentials and continuous learning. 3 items

Certificates

Feb 2024
Expires Feb 2027

Azure Developer Associate

Microsoft

Verify

Education

Oct 2014 - Aug 2017

Master of Science in Physics

Freie Universität Berlin

Berlin, Germany

Oct 2010 - Sep 2014

Bachelor of Science in Physics

Freie Universität Berlin

Berlin, Germany