Mark Plutowski

Data Strategist & Architect

Cupertino, United States

Summary

Specialist in Data Protection, Responsible Reuse, and Attribution.

Mark specializes in designing systems that allow developers to reuse existing data, using AI and machine learning to improve data quality and increase data network effects. Specifically,

• Labeling data.
• Creating feature sets for training.
• Creating reusable trained models.
• Collecting new data where most needed (Active Learning -- my Phd topic).
• Generating synthetic transactional data having similar characteristics as raw data.
• Designing incentives using principles of mechanism design.
• Simulating economies comprised of adaptive data-driven agents.

Mark has designed and simulated economies using multi-agent computational techniques from econometrics, game theory and machine learning.

He excels at synthesizing complex technical material for communicating to cross-functional teams.

Mark holds 18 patents issued, with 11 applications pending.

Languages:

English

Favorite Python Packages:

Pyspark.

Experience

Mark has spent 20+ years in the intersection of big data, machine learning, and econometrics with a focus on data strategy and building autonomous data-driven platforms. He has applied this experience to innovative companies in media, e-commerce, education, retail, defense, advertising, and finance. Mark has held leadership, strategic, and product defining roles for multinationals including Netflix, Sony, and IBM, and for several successful startups. He is an educator, a writer, and has several patents.

Mark specializes in designing systems that allow developers to reuse existing data, using AI and machine learning to improve data quality and increase data network effects. Specifically,

• Labeling data.
• Creating feature sets for training.
• Creating reusable trained models.
• Collecting new data where most needed (Active Learning -- my Phd topic).
• Generating synthetic transactional data having similar characteristics as raw data.
• Designing incentives using principles of mechanism design.
• Simulating economies comprised of adaptive data-driven agents.

Mark works with companies in roles where he can help teams:

• Maximize returns on research and development
• Create innovations that solve novel problems
• Productize and deploy prototypes at scale
• Shape and execute data-driven strategies
• Capture intellectual property
• Teach, mentor, coach

Mark has experience working with and advising teams and organizations ranging from upstart to global in domains including audio, video, text, numeric, consumer, industrial, health, medical, defense, consumer, enterprise, financial, distributed ledger technology, cryptoeconomics, tokenization and blockchain.

Mark designs and simulates economies using multi-agent computational techniques from econometrics, game theory and machine learning.

He excels at synthesizing complex technical material for communicating to cross-functional teams.

Mark holds 18 patents issued, with 11 applications pending.

Skills

Amazon Web Services (AWS), Artificial Intelligence, Big Data, Blockchain, Cryptocurrency, Data Science, Git, JavaScript, Jenkins, Machine Learning, MySQL, Natural Language Processing, NumPy, Pandas, PostgreSQL, SciPy, Spark, Virtualenv

Joined: January 2019