Marcin Stasko

Driving digital transformation and AI strategy for LG 4.0 at one of the world's largest battery manufacturers. Leading cross-functional teams of data scientists, ML engineers, and software developers to architect and deploy production-grade AI systems at factory scale.

• Architected Enterprise AI Platform — Designed and deployed a secure, scalable GenAI platform using Milvus (vector DB), Django, and RAG architectures. Enabled rapid LLM integration across business units with fine-grained access control and audit logging.
• Led Predictive Maintenance (PdM) from 0→Production — End-to-end ownership from data pipeline design through model training (XGBoost, LSTM) to factory-wide deployment, significantly reducing unplanned downtime across production lines.
• Computer Vision at Scale — Directed automated defect detection initiatives using YOLOv8 and ResNet architectures for real-time inference on edge devices, achieving production-grade accuracy on critical quality checkpoints.
• APAS — Advanced Process Analysis System — Built a manufacturing intelligence platform delivering statistical modeling insights directly to C-suite executives, driving data-informed strategic decisions.
• LLM-Powered Productivity Suite — Implemented internal chatbots, automated document processing, and knowledge retrieval systems using LangChain, OpenAI GPT-4, and Azure AI services.
• Engineering Operations — Managed project lifecycles via YouTrack API integrations for advanced analytics and resource tracking. Established CI/CD pipelines and MLOps practices for repeatable model deployment.
• Thought Leadership — Keynote speaker at international AI and Industry 4.0 conferences, representing the organization's innovation strategy.

Transitioned from engineering into data science leadership, delivering high-impact ML projects that fundamentally optimized battery production workflows.

• Six Sigma Black Belt Award — Led a cross-departmental project delivering $28M in validated annual cost savings through statistical process optimization and predictive analytics.
• Automated Enterprise Reporting — Replaced large-scale SAS-based reporting workflows with automated Python pipelines, achieving 25,000+ hours of yearly productivity gains across the organization.
• ML-Driven Process Optimization — Developed interprocess correlation analysis models to optimize battery production yield, directly impacting product quality and manufacturing efficiency.
• Real-Time Data Infrastructure — Engineered automated data pipelines transforming manual reporting into real-time operational dashboards used by production managers.

Built the domain expertise foundation in battery manufacturing that later enabled data-driven and AI-powered solutions at scale.

• Six Sigma Green Belt Project — Led process optimization resulting in $2.3M annual savings through root cause analysis and statistical process control.
• Electrode & Cell Assembly Expert — Deep specialization in chemical process engineering, enabling precise root cause analysis for yield improvement.
• R&D Coordination — Managed research projects on purification and cleaning applications for advanced battery manufacturing processes.

Providing high-level AI strategy, technical implementation consulting, and digital transformation roadmap development to organizations worldwide.

• Global AI Advisory — Delivered AI strategy and hands-on technical implementation for 50+ projects across 16 countries, spanning manufacturing, finance, healthcare, and education sectors.
• 3,000+ Hours of Expert Consulting — High-level advisory on AI integration, system architecture, MLOps practices, and DX roadmap development for enterprise clients.
• s4p.eu Platform — Founded and built an AI education and tool platform that has trained 14,000+ professionals in practical AI application.

Appointed as a judicial expert, demonstrating analytical rigor and the ability to communicate complex technical findings to non-technical stakeholders.

• Judicial Expert — Appointed expert in toxicology and forensic chemistry, providing authoritative scientific analyses for complex legal proceedings.
• Expert Testimony — Delivered clear, evidence-based testimony that translated complex scientific data into actionable legal insights.