Marcin Stasko

Building Science For People into an AI consulting, education, and product platform that helps organizations adopt AI responsibly, strengthen developer experience, and ship practical internal tools faster.

• Executive advisory & consulting - Leading strategy sessions, consultations, and architecture workshops for founders, executives, and delivery teams working on GenAI adoption, DX transformation, and AI operating models.
• Product & platform leadership - Owning the direction of s4p.eu across AI tooling, education products, consultation flows, mentoring offers, and go-to-market experiments.
• Hands-on delivery - Translating high-level strategy into implementation plans, prototypes, reusable product components, and production-ready platform decisions.
• AI education at scale - Built practical AI workshops and training paths used by 14,000+ professionals across 16 countries.

Drove digital transformation and enterprise AI delivery for LG 4.0 at one of the world's largest battery manufacturers, leading cross-functional teams building production-grade systems at factory scale.

• Architected enterprise AI platform - Designed and deployed a secure, scalable GenAI platform based on Milvus, Django, and RAG architectures with fine-grained access control and audit logging.
• Led predictive maintenance from 0 to production - Owned the path from data pipeline design through model training and factory-wide deployment, materially reducing unplanned downtime across production lines.
• Computer vision at scale - Directed automated defect-detection initiatives for real-time inference on edge devices and critical quality checkpoints.
• Advanced process analysis system - Built a manufacturing intelligence platform that delivered statistical insight directly to C-suite leaders.
• LLM productivity suite - Implemented internal chatbots, document processing, and knowledge-retrieval systems using self-hosted LLM models.
• Engineering operations - Established CI/CD, MLOps practices, and project analytics with YouTrack integrations for repeatable delivery.

Moved from process engineering into data-science leadership, delivering machine-learning initiatives that materially optimized battery-production workflows.

• Six Sigma Black Belt project - Led a cross-functional initiative that delivered $28M in validated annual savings through statistical optimization and predictive analytics.
• Automated enterprise reporting - Replaced large SAS-based reporting workflows with Python pipelines that generated 25,000+ hours of yearly productivity gain.
• ML-driven process optimization - Built inter-process correlation models to improve production yield, product quality, and manufacturing efficiency.
• Real-time data infrastructure - Engineered automated data flows that converted manual reporting into operational dashboards used by production managers.

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

• Six Sigma Green Belt project - Delivered $2.3M in annual savings through root-cause analysis and statistical process control.
• Electrode & cell assembly expertise - Developed deep knowledge in chemical process engineering, supporting precise yield-improvement work.
• R&D coordination - Managed research projects focused on purification and cleaning applications for advanced battery manufacturing.

Appointed judicial expert, combining analytical rigor with the ability to explain complex technical findings to non-technical decision-makers.

• Judicial expert - Delivered authoritative scientific analysis in toxicology and forensic chemistry for complex legal proceedings.
• Expert testimony - Translated complex evidence into clear, defensible conclusions for judges and legal stakeholders.