Paweł Magnuszewski

CEO

Cracow, Małopolskie, Poland4 yrs 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Machine Learning and AI solutions.
Proven track record in quantitative research.
Strong background in data analysis and engineering.

Stackforce AI infers this person is a Data Science and Machine Learning expert with a focus on research and development.

Contact

Skills

Core Skills

Machine LearningArtificial Intelligence (ai)Quantitative ResearchNumerical AnalysisOpen-source SoftwarePhysics SimulationComplex SystemsAnalytical SkillsAdvanced Driver-assistance Systems (adas)Data AnalysisData EngineeringComputer Science

Other Skills

CommunicationComputer VisionContinuous ImprovementData AnalyticsData ProcessingData ScienceData StructuresDeep LearningEnglishGitLean Six SigmaNatural Language Processing (NLP)Neural NetworksObject-Oriented Programming (OOP)Partial Differential Equations

About

professional doer quant ML&q-fin researcher

Experience

4 yrs 6 mos

Total Experience

1 yr 2 mos

Average Tenure

11 mos

Current Experience

Caladan

Quant

Jul 2025 – Present · 11 mos

Agh university of krakow

2 roles

Quantitative Researcher

Oct 2024 – Apr 2025 · 6 mos

conducted research that concluded in an arxiv paper: https://arxiv.org/pdf/2505.24435

Python (Programming Language)Quantitative ResearchNumerical Analysis

Research And Development Intern

Jul 2024 – Sep 2024 · 2 mos

Open-Source SoftwarePython (Programming Language)Partial Differential EquationsPhysics Simulation

Ai lab agh

Machine Learning Researcher

May 2024 – Jun 2025 · 1 yr 1 mo

attended various conferences as a member of a student science club

Traffic ai solutions

Machine Learning Engineer

Feb 2024 – Jul 2025 · 1 yr 5 mos

Python (Programming Language)Computer VisionMachine LearningArtificial Intelligence (AI)

Goodware

Machine Learning Specialist Consultant

May 2023 – Jan 2024 · 8 mos

Led a team to research, design, build and support various ML-backed Advanced Driver Assistance Systems, such as LKA, DMS, ECW
Developed and implemented NN models with real-time inference speed on embedded devices for tasks such as: vehicle and pedestrian detection, lane detection
Spearheaded the creation of an ML team in the company
Educated peers on good practises in AI and ML
Managed end-to-end system implementation including: data collection, dataset creation and monitoring, model development, calibration and testing

Machine LearningArtificial Intelligence (AI)Supervised LearningAdvanced Driver-Assistance Systems (ADAS)Computer VisionPython (Programming Language)+2

Glider

Researcher

Sep 2022 – Apr 2025 · 2 yrs 7 mos

Co-authored a paper at the 15th International Conference on Parallel Processing & Applied Mathematics on multi-agent systems simulation https://doi.org/10.1007/978-3-031-85703-4_19

Complex SystemsPython (Programming Language)Analytical SkillsCommunicationEnglish

Brainhint

Junior Data Scientist

Jul 2022 – Jan 2023 · 6 mos · Remote

Utilized data analysis and ML to optimize product ad cost by 20% while maintaining their impact
Conducted thorough data manipulation and in-depth analysis to extract valuable insights from the client's data
Communicated data-driven findings via presentations
Developed onboarding materials for clients of the Digiwit platform
Collaborated with the marketing team to create informative and engaging content for social media

Data ProcessingDeep LearningComputer ScienceData AnalysisGitData Engineering+8

Volvo group

Data Engineer

Feb 2022 – Jul 2022 · 5 mos · Wroclaw Metropolitan Area · Remote

Developed PySpark scripts to gather key insights and compute various metrics of datasets
Implemented various ML models in scikit-learn as part of an extensive ML course

Data ProcessingDeep LearningComputer ScienceData AnalysisGitData Engineering+9