Marcin Polkowski — Planning & Capacity Engineer at Meta

Summary

Planning & Capacity Engineer at Meta. I own demand planning and supply planning for the server racks and critical components behind hyperscale AI compute infrastructure, turning fast-changing GPU and accelerator demand into executable hardware delivery plans, supplier commitments, and a dependable supply signal the rest of the organization plans against.

PhD physicist and supply chain optimization leader with a decade of experience in demand forecasting, capacity planning, S&OP, inventory and buffer strategy, and large-scale mathematical optimization. As a consultant at Accenture and End-to-End Analytics I delivered forecasting, procurement optimization, configuration optimization, and GenAI decision platforms for automotive, high-tech, and retail enterprises that lifted forecast accuracy, reduced buffer inventory, and unlocked tens of millions of dollars in annual value.

Hands-on, AI-native engineer: I build the data pipelines, forecast validation, automation, and internal planning tools that make hyperscale infrastructure planning trustworthy at scale, on cloud-native, serverless architectures (AWS, Azure, GCP), with Python, SQL, Spark, and optimization solvers such as Gurobi, CPLEX, and OR-Tools.

Based in the SF Bay Area. Open to conversations about AI infrastructure supply chain, capacity planning, demand planning, optimization, and decision platforms, especially where speed to value and scale matter.

Professional Experience

2026–now
Planning & Capacity Engineer
Meta
Infrastructure supply chain · Menlo Park, CA
2022–2026
Senior Manager
Accenture
AI & analytics programs across automotive, high-tech and retail
2021–2022
Manager
Accenture
via acquisition of End-to-End Analytics
2018–2021
Data Science Manager
End-to-End Analytics
Palo Alto, CA
2017–2018
Senior Data Scientist
Acorn Analytics
San Francisco Bay Area
2017–2018
Assistant Professor
University of Warsaw
Faculty of Physics
2012–2016
Researcher and PhD candidate
University of Warsaw
2009–2022
Entrepreneur
iStudio
side venture

Selected & Recent Projects

AI compute hardware supply chain planning at Meta

2026 – now

Translate the explosive growth in AI compute demand into executable hardware fulfillment plans, supplier commitments, and delivery scenarios across racks and critical components
Own demand and supply planning with the world's largest ODM, one of the largest hardware supply relationships in the industry, converting their capacity commitments into the reliable supply signal downstream capacity and product teams plan against
Build the data foundation and internal tooling behind it: forecast validation, automation, and data pipelines
Help shape a next-generation, in-house planning platform spanning demand planning, forecast generation, and allocation

Cloud-native decision platforms for automotive, high-tech and retail clients (Accenture)

2022 – 2026

Forecasting and procurement optimization engine on AWS with Gurobi that improved forecast precision by 25%+ and cut buffer stock by 18%
Vehicle configuration optimization capability on Azure using advanced constraint programming
Secure, serverless entity-search application with fuzzy matching that reduced manual review by 90%+
Reusable GenAI accelerators for survey intelligence and market opportunity discovery (Azure OpenAI / OpenAI), turning unstructured text into executive-ready insights
Owned product strategy, architecture, and delivery; partnered with executives to align roadmaps to measurable outcomes

Advanced planning and optimization for enterprise clients (Accenture)

2021 – 2022

Led architecture and core constraint logic for a dealer ordering recommendation engine for a US market-leading car manufacturer, forecasting demand for fully configured vehicles (Python, CPLEX, Gurobi, or-tools)
Built Spark / Hadoop ETL at scale and optimized runtime on a cluster with thousands of cores, driving an estimated $70M+ of annual value
Conducted a supply and demand planning capability assessment for an emerging mobility manufacturer; benchmarked Anaplan, SAP, o9 and Blue Yonder and produced a migration roadmap and change plan
Ran a hardware demand forecasting gap analysis for a hyperscale cloud provider; mapped the planning lifecycle, designed a short/mid-term optimization prototype, and recommended algorithm and metric improvements

Analytics and optimization for Fortune 500 supply chains (End-to-End Analytics)

2018 – 2021

Built a cloud-native vehicle routing and inventory replenishment engine (AWS Lambda, Fargate, S3, EC2) for a nationwide car battery supplier, reducing delivery delays by 25% while maintaining fill rates
Developed a large-scale device telemetry analytics platform for a Fortune 500 phone manufacturer to diagnose battery and charging issues across a global fleet, enabling faster triage and lower warranty cost
Managed development of a .NET Core promotion-management platform for a North American bakery leader, optimizing $1.5B in trade spend
Architected the AWS infrastructure, resilient nightly ETL processing tens of gigabytes, CI/CD (GitHub, Jenkins, Lambda, Fargate), and QA tooling behind it
Drove stakeholder alignment and transitioned prototypes into production systems

Streaming IoT analytics for a wearable device maker (Acorn Analytics)

2017 – 2018

Built statistical models and serverless pipelines (AWS Lambda + S3) to detect user behavior patterns, device performance issues, and usage-based triggers on live device data
Reduced support response time by 35% and informed the product roadmap with quantitative insights used in designing the next device iteration
Partnered with product, data engineering, and customer success to define KPIs, instrumentation, and experiments

Profile

PhD physicist turned AI, analytics and supply-chain leader
Supply and demand planning, S&OP, inventory and buffer strategy
Product mix and configuration optimization, constraint programming and mathematical optimization
Recommendation engines and LLM-powered intelligence
Cloud-native, serverless architectures built for scale, resilience and cost efficiency
Hands-on, AI-native engineering style: I build, not just advise
Experiment-driven approach to ambiguity, rooted in high-performance computing and time-series research
Team leading and delivery experience; partner closely with business and technical leaders to land change and adoption
AWS Certified Solutions Architect
Anaplan Certified Model Builder
Strong communication skills, ability to explain technical problems to non-technical users

Skills

Planning & optimization Demand and supply planning, S&OP, capacity and buffer strategy, forecasting; constraint programming and mathematical optimization with Gurobi, CPLEX and or-tools; planning platforms including Anaplan, SAP, o9 and Blue Yonder

Programming Broad experience with Python, SQL, Spark, C++, MATLAB, C#, PHP, LaTeX, Fortran, Git and Bash; basic experience with Mathematica, Altium Designer, VHDL, CUDA; large data sets, geographic data and maps, time-series analysis

Cloud & AI Over a decade on Amazon Web Services (Lambda, Fargate, EC2, S3, RDS, Redshift), plus Azure and Google Cloud Platform; serverless and event-driven architectures, CI/CD; GenAI and LLM tooling (Azure OpenAI / OpenAI) and AI-assisted development

Computers Working on all platforms, including Windows, Mac and Linux, as both workstations and servers; broad experience with Microsoft Office, Adobe Illustrator and Photoshop and lots of command line tools

Education

2012 – 2016

University of Warsaw

PhD studies · Faculty of Physics (geophysics, seismology)

PhD thesis Lokalizacja ognisk trzęsień ziemi metodą propagacji wstecznej z wykorzystaniem implementacji metody fast marching w modelu 3D obszaru Polski PDF

2011 – 2012

University of Warsaw

Second degree studies · Faculty of Physics (specialty in geophysics)

Master's thesis Local seismic events in area of Trans European Suture Zone based on data from PASSEQ experiment PDF

2006 – 2011

University of Warsaw

First degree studies · Faculty of Physics

Bachelor thesis Simulation of wave fronts and amplitudes of P and S-waves in spherically symmetric Earth model using ray approach PDF

Family

Since September 2012 I'm happily married to Agnieszka. We have six great kids:

Klementyna
Matylda
Jasmina
Aurora
Luna
Colin

In 2024 we moved from Europe to the Santa Cruz Mountains in Northern California.

Alongside the wild deer, foxes, coyotes, mountain lions, and skunks that regularly wander through our property, our family is kept company by two loyal dogs.

If allowed by busy daily schedule I like to do DIY: building and repairing electronics and doing some woodworking.

Other

4 years of teaching experience in C++ and Python programming
Author and co-author of 17 scientific publications
Conference session organizer at major international events in the field of geophysics
Plane travel enthusiast and collector of flight data

Photos

Open Source

glucose-syrup-modified Modified Glucose SAT Solver for purpose of finding all feasible solutions (and solution groups) for given SAT problem.
pySeismicFMM Python based travel time calculation in regular 2D and 3D grids in Cartesian and geographic coordinates using Fast Marching Method
pyMultiMine Python based cryptocurrency mining driver that allows switching between different currencies, mining software and algorithms based on current mining profitability.

Publications

17 peer-reviewed papers in geophysics and seismology.

2024
Karkowska, K., Wilde-Piórko, M., Dykowski, P., Sękowski, M., Polkowski, M.
Determination of the seismic structure of the Earth based on joint analysis of gravimetric and seismometric data – a case study
Geology, Geophysics and Environment, 50(1), 5–22
2020
Chrapkiewicz, K., Wilde-Piórko, M., Polkowski, M., Grad, M.
Reliable workflow for inversion of seismic receiver function and surface wave dispersion data: a “13 BB Star” case study
Journal of Seismology, 24, 101–120
2019
Majorowicz, J., Polkowski, M., Grad, M.
Thermal properties of the crust and the lithosphere–asthenosphere boundary in the area of Poland from the heat flow variability and seismic data
International Journal of Earth Sciences, 108, 649–672
2019
Dec, M., Polkowski, M., Janik, T., Stec, K., Grad, M.
Verification of the seismic P-wave velocities under Moho boundary: Central Poland case study, LUMP profile
Acta Geophysica, 67, 41–57
2019
Majorowicz, J., Grad, M., Polkowski, M.
Terrestrial heat flow versus crustal thickness and topography – European continental study
International Journal of Terrestrial Heat Flow and Applied Geothermics, 2(1)
2018
Grad, M., Puziewicz, J., Majorowicz, J., Chrapkiewicz, K., Lepore, S., Polkowski, M., Wilde-Piórko, M.
The geophysical characteristic of the lower lithosphere and asthenosphere in the marginal zone of the East European Craton
International Journal of Earth Sciences, 107, 2711–2726
2018
Lepore, S., Polkowski, M., Grad, M.
Crustal and uppermost mantle S-wave velocity below the East European Craton in northern Poland from the inversion of ambient-noise records
International Journal of Earth Sciences
2017
Puziewicz, J., Polkowski, M., Grad, M.
Geophysical and petrological modeling of the lower crust and uppermost mantle in the Variscan and Proterozoic surroundings of the Trans-European Suture Zone in Central Europe
Lithos, 276, 3–14
2017
Wilde-Piórko, M., Dykowski, P., Polkowski, M., Olszak, T., Grad, M., Kryński, J., Sękowski, M., Krankowski, A., Rajner, M.
Expanding seismic surface waves measurements towards low periods with gravity measurements
Geoinformation Issues, 9(1), 5–13
2017
Wilde-Piórko, M., Grycuk, M., Polkowski, M., Grad, M.
On the rotation of teleseismic seismograms based on the receiver function technique
Journal of Seismology, 21(4), 857–868
2016
Polkowski, M., Plesiewicz, B., Wiszniowski, J., Wilde-Piórko, M., PASSEQ working group
Local seismic events in the area of Poland based on data from the PASSEQ 2006-2008 experiment
Acta Geophysica, 64(6), 2092–2113
2016
Grad, M., Polkowski, M.
Seismic basement in Poland
International Journal of Earth Sciences, 105(4), 1199–1214
2016
Grad, M., Polkowski, M., Ostaficzuk, S.R.
High-resolution 3D seismic model of the crustal and uppermost mantle structure in Poland
Tectonophysics, 666, 188–210
2015
Polkowski, M., Grad, M.
Seismic wave velocities in deep sediments in Poland: borehole and refraction data compilation
Acta Geophysica, 63(3), 698–714
2015
Grad, M., Polkowski, M., Wilde-Piórko, M., Suchcicki, J., Arant, T.
Passive seismic experiment “13 BB Star” in the margin of the East European Craton, northern Poland
Acta Geophysica, 63(2), 352–373
2014
Majdański, M., Polkowski, M.
The uncertainty of 2D models along wide angle seismic profiles
Pure and Applied Geophysics, 171(9), 2277–2287
2012
Grad, M., Polkowski, M.
Seismic wave velocities in the sedimentary cover of Poland: borehole data compilation
Acta Geophysica, 60(4), 985–1006

Conferences

Sessions convened

2017
SM7.1 New developments in open source and academic seismic software
European Geosciences Union, General Assembly 2017
Primary Convener: Marcin Polkowski · Conveners: Mariusz Majdański, Ilma Janutyte
2016
S020: New Developments in Open Source and Academic Seismic Software
American Geophysical Union, Fall Meeting 2016
Primary Convener: Marcin Polkowski · Conveners: Mariusz Majdański, Monika Wilde-Piórko
2016
SM7.5 New developments in open source and academic seismic software · SM1.7 Uncertainty estimation in geophysical methods
European Geosciences Union, General Assembly 2016
Primary Convener: Marcin Polkowski (SM7.5) · Conveners: Ilma Janutyte, Mariusz Majdański, Richard Hobbs
2015
S33C: New Developments in Open Source and Academic Seismic Software Posters
American Geophysical Union, Fall Meeting 2015
Primary Convener: Marcin Polkowski · Convener: Mariusz Majdański

Presentations & posters

2017
EGU General Assembly 2017
23–28 April 2017, Vienna, Austria
- pySeismicDQA: open source post experiment data quality assessment and processing PDF
2016
AGU Fall Meeting 2016
14–18 December 2016, San Francisco, USA
- pySeismicFMM: Python based travel time calculation in regular 2D and 3D grids in Cartesian and geographic coordinates using Fast Marching Method PDF
2016
EGU General Assembly 2016
17–22 April 2016, Vienna, Austria
- pySeismicFMM: Python based travel time calculation in regular 2D and 3D grids PDF
- Broadband network on-line data acquisition system with web based interface for control and basic analysis PDF
2015
AGU Fall Meeting 2015
14–18 December 2015, San Francisco, USA
- Travel time calculation in regular 3D grid in local and regional scale using fast marching method PDF
- Unexpected non seismic signals recorded by broadband seismic stations during geomagnetic storms
2015
EGU General Assembly 2015
12–17 April 2015, Vienna, Austria
- Applications of detailed 3D P-wave velocity crustal model in Poland for local, regional and global seismic tomography PDF
2014
AGU Fall Meeting 2014
15–19 December 2014, San Francisco, USA
- High-Resolution 3D P-Wave Velocity Model in the Trans-European Suture Zone in Poland PDF
- Passive Seismic Experiment “13 BB Star” in the Margin of the East European Craton, Northern Poland
2014
EGU General Assembly 2014
27 April – 2 May 2014, Vienna, Austria
- “13 BB star” — broadband seismic array at the edge of East European Craton in Poland (oral)
- Local seismic events in area of Poland based on data from PASSEQ 2006-2008 experiment PDF
2013
EGU General Assembly 2013
7–13 April 2013, Vienna, Austria
- Relations between heat flow, topography and Moho depth for Europe PDF
2012
ESC 33rd General Assembly
19–24 August 2012, Moscow, Russia
- Seismic wave velocities in the sedimentary cover of Poland: Borehole data compilation PDF

Teaching

At the University of Warsaw I taught computer science and seismic modeling and advised student projects. Every semester I had one or two groups of students; depending on the semester I taught Python programming, SQL and database programming, microcontroller programming or basic electronics.