Marcin Stasko

Principal AI Engineer & Digital Strategist

Senior AI Leader with 10+ years of experience bridging the gap between C-level strategy and deep-tech execution. I specialize in building high-performance R&D teams, deploying industrial-grade Computer Vision & LLM systems, and driving digital transformation that yields measurable ROI. Expert in both technical execution and strategic leadership, with a track record of unlocking 100M+ EUR in value through innovative AI-driven solutions.

Marcin Stasko Keynote
Debate Speaker

Professional Experience

AI/DX Manager

LG Energy Solution

2021 - Present

Leading the digital transformation (DX) for one of the world's largest EV battery manufacturers. Responsible for the architecture, strategy, and deployment of mission-critical AI systems across European operations.

Strategic Impact
  • Built and led the AI/DX department from the ground up, managing cross-functional squads of Data Scientists, DevOps Engineers, and Analysts.
  • Delivered 100M+ EUR in confirmed operational savings through large-scale predictive maintenance and yield optimization.
  • Designed the roadmap for "LG 4.0", transitioning the factory from legacy automation to a data-driven "Smart Factory" ecosystem.
Technical Execution
  • Architected a secure, on-premise AI Platform using Milvus (Vector DB), Django, and Docker to enable RAG pipelines and Agentic workflows.
  • Deployed 10+ modular microservices orchestrated via Kubernetes for real-time factory inference.
  • Developed advanced Computer Vision systems (Supervised & Unsupervised) for real-time defect detection on high-speed lines.

Senior Data Scientist

LG Energy Solution

2020 - 2021

Spearheaded advanced analytics initiatives to solve complex manufacturing bottlenecks using Machine Learning and Statistical Modeling.

  • Six Sigma Black Belt Lead: Led a critical yield improvement project that resulted in $28M annual savings by optimizing interprocess parameters.
  • Deep Learning Implementation: Developed and deployed Neural Networks for complex non-linear correlation analysis, identifying invisible yield drivers.
  • Automation at Scale: Automating reporting workflows (SAS/Python), recovering 25,000+ engineering hours annually.
  • Innovation: Created APAS (Advanced Process Analysis System), a proprietary tool adopted by HQ, presented directly to the CEO.

Senior Process Engineer

LG Chem

2018 - 2020

Focused on the core chemistry and physics of battery manufacturing, bridging the gap between chemical engineering and data analysis.

  • Green Belt Project: Saved $2.3M annually by optimizing electrode formation capabilities.
  • Root Cause Analysis: Expert in "5 Whys" and statistical root cause analysis for chemical process deviations.
  • Research: Conducted extensive R&D on binder distribution and slurry properties.

Principal Consultant

Freelance / International

2017 - Present
  • Global Impact: Executed 50+ strategic consulting projects across 16 countries, totaling over 3,000 consultation hours.
  • Focus Areas: Advising SMEs and Enterprise clients on AI Strategy, Digital Transformation roadmaps, and MLOps architecture.

Court Expert Witness

District Court, Opole

2018 - 2023

Appointed by the court to provide expert opinions in Forensic Chemistry and Toxicology. Analyzed complex casework involving substance interactions and product safety compliance.

Academic & Research Background

Karolinska Institutet (Stockholm)

2016

Research Intern, Medical Biochemistry & Biophysics: Investigated novel protein labeling techniques using fluorescent probes. This work contributed to advanced bio-imaging capabilities, allowing for more precise tracking of enzymatic activities in live cells.

University of Graz (Austria)

2015

Researcher, Organic Synthesis: Focused on enzymatic synthesis and the catalytic properties of specific enzymes in non-aqueous media. Published findings in ChemSusChem, highlighting sustainable methods for chemical production.

Polish Academy of Sciences

2014

Research Intern: Developed synthetic pathways for novel fluorescent sensors. These sensors were designed to detect specific heavy metal ions in environmental samples, combining organic chemistry with analytical application.