I'm Krystian Paczkowski, a Lead AI/ML Engineer with 20+ years delivering enterprise AI integrations and workflow automation. I specialize in Microsoft Azure, Office 365, and AI-powered productivity systems, designing copilots and intelligent automation that connect CRM platforms, internal systems, and cloud services. I excel at building secure data pipelines, cloud-native architectures, and rapid delivery of production-ready solutions in fast-paced, remote environments. I enjoy collaborating with stakeholders to translate business needs into scalable, measurable outcomes.

Krystian Paczkowski

I'm Krystian Paczkowski, a Lead AI/ML Engineer with 20+ years delivering enterprise AI integrations and workflow automation. I specialize in Microsoft Azure, Office 365, and AI-powered productivity systems, designing copilots and intelligent automation that connect CRM platforms, internal systems, and cloud services. I excel at building secure data pipelines, cloud-native architectures, and rapid delivery of production-ready solutions in fast-paced, remote environments. I enjoy collaborating with stakeholders to translate business needs into scalable, measurable outcomes.

Available to hire

I’m Krystian Paczkowski, a Lead AI/ML Engineer with 20+ years delivering enterprise AI integrations and workflow automation. I specialize in Microsoft Azure, Office 365, and AI-powered productivity systems, designing copilots and intelligent automation that connect CRM platforms, internal systems, and cloud services.

I excel at building secure data pipelines, cloud-native architectures, and rapid delivery of production-ready solutions in fast-paced, remote environments. I enjoy collaborating with stakeholders to translate business needs into scalable, measurable outcomes.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

Lead AI/ML Ops Engineer at The Friedkin Group
February 1, 2025 - Present
Designed and implemented AI-powered copilots and automation workflows integrating enterprise systems across Azure and cloud platforms. Built LLM-driven workflow automation solutions connecting internal tools, APIs, and data platforms to streamline business operations. Developed API-based integrations enabling seamless data flow between AI systems, CRM platforms, and enterprise applications. Leveraged Azure and cloud-native architectures to deploy scalable AI solutions. Collaborated with stakeholders to analyze business processes and identify automation opportunities, delivering measurable productivity improvements. Established secure data pipelines and access controls, ensuring compliance with enterprise security and governance policies. Led end-to-end delivery, including design, implementation, troubleshooting, and documentation of AI integration systems.
Board Member/ Technical Advisory at Be.inc
July 1, 2023 - February 1, 2025
Provided strategic guidance and technical leadership for initiatives promoting mental wellness and community connection. Led design and development of the be.kinder.you app, a platform fostering empathy and resilience. Advised on technology strategy to support scalable, impactful solutions and maximize social impact.
Senior Machine Learning Engineer at Bombora
June 1, 2021 - July 31, 2023
Spearheaded development and deployment of advanced NLP solutions for intent-based marketing, transforming billions of customer intelligence data. Led MLOps to streamline model deployment, monitoring, and maintenance, improving production efficiency and reliability. Architected scalable ML pipelines handling large-scale data to deliver actionable insights for Fortune 500 clients. Designed and deployed models for computer vision, NLP, and recommendations; optimized model performance and latency.
Senior AI/ML Engineer at PwC
May 1, 2016 - July 31, 2023
Led and contributed to cross-functional AI initiatives, architecting end-to-end ML solutions from concept to production. Delivered enterprise AI and automation solutions, built and deployed scalable AI models, and designed secure cloud architectures with governance. Implemented API-driven integrations across cloud platforms and enterprise tools; mentored teams on ML development, MLOps, and software engineering practices.
Senior Data Scientist at PwC
January 1, 2019 - March 31, 2020
Pioneered NLP solutions for financial and tax automation, deploying language models for document processing and semantic understanding. Built cloud-native ML infrastructure across Azure, AWS, and GCP with containerization for scalability and reliability. Established best practices for deploying NLP at scale and integrated models into enterprise applications.
CEO & Founder at DataStatix
August 1, 2018 - January 31, 2019
Conducted advanced research and applied ML for predictive and preventive maintenance, focusing on equipment uptime and cost reduction. Developed time-series and anomaly detection models, applied NLP to operational logs, and built end-to-end ML pipelines with cloud-based infrastructure for deployment.
Senior Structural Engineer, Rig Systems at Transocean
December 1, 2012 - August 31, 2018
Contributed to engineering initiatives for a global offshore drilling fleet, integrating IoT and 3D printing technologies into structural workflows. Led research in drilling systems, developed predictive modeling and monitoring for real-time analytics, and coordinated cross-disciplinary teams to ensure safety and performance.
Full Stack Developer at Freelance / Individual Contributor
June 1, 1996 - May 31, 2012
Delivered end-to-end web solutions for diverse clients, architecting Python, Java, C/C++, PHP, and .NET-based applications. Built databases and dashboards, integrated with front-end frameworks, and ensured scalable, secure deployments. Led projects from concept to delivery with a focus on maintainability and performance.
Research Assistant at University of Hawaii at Manoa
September 1, 2005 - December 31, 2011
Led computational research requiring advanced numerical modeling and HPC. Developed data processing pipelines and interactive visualizations for scientific datasets; conducted high-performance simulations and contributed to publications.
Scientific Researcher at University of Hawaii at Manoa
November 1, 2009 - December 31, 2009
Post-tsunami damage reconnaissance and structural assessment, co-authoring a technical report on resilience strategies. Contributed to research on coastal hazards and interactions between natural disasters and built environments.
Scientific Researcher Internship at UC San Diego
May 1, 2008 - July 31, 2008
NSF NEES program; developed numerical models for fluid-structure interaction under seismic/dynamic loads; managed scientific computational infrastructure for large-scale simulations.

Education

PhD in Artificial Intelligence at University of Hawaii at Manoa
October 1, 2005 - April 1, 2011
Master of Science in Computer Science at Poznan University of Technology
September 1, 2000 - May 1, 2005
Bachelor's Degree in Structural Engineering at Politecnico di Milano
June 1, 2002 - May 1, 2003

Qualifications

Machine Learning in Production (MLOps)
January 11, 2030 - April 17, 2026
Google Cloud AI Agents
January 11, 2030 - April 17, 2026
Hadoop Fundamentals
January 11, 2030 - April 17, 2026
Practical Apache Web Server Administration
January 11, 2030 - April 17, 2026

Industry Experience

Software & Internet, Professional Services, Media & Entertainment