Pawel Flajszer 🦆
Pawel Flajszer

Senior Developer and Data Engineer

I am an experienced engineer specializing in driving innovation, streamlining processes through modern development practices and operational efficiencies, and utilizing advanced technologies to architect and deploy scalable data solutions. I leverage machine learning and statistical models to tackle complex business challenges.

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Experience

  1. Senior Developer and Data Engineer

    Search Laboratory (Contracting) via PF Software Solutions
    • Spearheaded the development of the entire Data Science process, implementing agile methodologies, code review protocols, DevOps/MLOps practices, and optimizing GCP technology stack, along with creating templates and documentation.
    • Designed, built, and deployed data pipelines and machine learning models to solve complex business challenges for clients.
  2. Developer

    Search Laboratory (Contracting) via PF Software Solutions
    • Led the development and maintenance of core company APIs and .NET data infrastructure.
    • Mentored team members across various roles, including system administrators, junior developers, and technical stakeholders from other departments.
    • Managed system administration tasks for nearly a year during the pandemic, alongside primary responsibilities.
    • Developed a clean architecture template for internal applications and established a framework for development, including CI/CD pipelines and processes.
  3. Apprentice Developer

    Search Laboratory
    • Maintain and enhance applications using C#, .NET, Angular, Azure, GCP, SQL, JavaScript/TypeScript.
    • Respond to support requests, log issues, implement improvements, and develop user-friendly solutions based on business requirements.
    • Collaborate with CTO and Senior Developer to design, test, and deploy software while ensuring adherence to coding standards and documentation.

Education

  1. Higher National Certificate (HNC) - Level 4

    BCS, The Chartered Institute for IT
    The Software Developer Level 4 Apprenticeship is tailored for Web Developers, Application Developers, Mobile App Developers, Games Developers, and Software Developers. The program includes modules focused on building and testing high-quality code across front-end, back-end, and database layers. During the apprenticeship, I collaborated with a larger team on various projects, contributing to specific components of the overall project. Additionally, I obtained a Microsoft Technology Associate certification and several BCS certifications, including Systems Development and Software Languages.
  2. Machine Learning Specialization

    Stanford University Online
    Completed a comprehensive series of courses covering advanced machine learning techniques, including supervised learning (linear and logistic regression, neural networks, decision trees), unsupervised learning (clustering, anomaly detection), recommender systems, and reinforcement learning. Gained hands-on experience with modern practices for developing machine learning models and applied these skills to real-world problems, enhancing practical expertise in the field.
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  3. CS50AI: CS50's Introduction to Artificial Intelligence with Python

    Harvard University Online
    Completed an introductory course on artificial intelligence with Python, covering key topics such as machine learning, neural networks, and natural language processing. Gained practical experience through hands-on projects, applying AI techniques to solve real-world problems. Developed a robust understanding of AI principles and practices, enhancing skills in building and implementing AI solutions.
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  4. CS50: Introduction to Computer Science

    Harvard University Online
    This course teaches how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. Languages include C, Python, SQL, and JavaScript/HTML/CSS. Problem sets are inspired by real-world domains of biology, cryptography, finance, forensics, and gaming.
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Skills & Hobbies
Technical Skills
Software Development
Data Engineering & ML
Infrastructure
Hobbies
Hiking
Cats
Science
Featured Projects
Awards
Unsupervised Learning, Recommenders, Reinforcement Learning
Stanford University Online ∙ August 2023
See certificate
Advanced Learning Algorithms
Stanford University Online ∙ May 2023
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Supervised Machine Learning: Regression and Classification
Stanford University Online ∙ April 2023
See certificate
Systems Development Essentials
BCS ∙ June 2020
See certificate
Software Languages
BCS ∙ October 2019
See certificate