Experience

Period of work: July 2022 – August 2024
Responsibilities:

  • Administration of Linux systems and AWS cloud environment, including infrastructure monitoring and optimisation.
  • Management of the Moodle/Iomad platform, including configuration, maintenance and technical troubleshooting.
  • Administering WordPress-based websites, including updates, security and performance optimisation.
  • Leveraging AWS cloud solutions to scale, automate and maintain platforms.
  • Maintaining the phishing platform, including configuration, updates and analysis of its performance.
  • Managing user accounts and services in Google Workspace.
  • Preparing content for clients in HTML, including creating and editing static pages.
  • MariaDB database management, including query optimization, backups and data migrations.

Freelance/Personal projects
Scope of work:

  • Create scripts to facilitate everyday tasks, business processes e.g. report automation or data processing.
  • Development of own projects and solutions for learning programming

Education

Period: 2021-2023

During my studies, I gained a solid theoretical and practical foundation in programming, systems analysis and databases. Key technologies and skills I have mastered:

  • Programming: Python, Java, C#, PHP
  • Code management: Git
  • Operating systems: Linux
  • Databases: T-SQL
  • Modelling and analysis: UML
  • Software testing
A project I did as part of my bachelor’s thesisRichGophishClient

Period: 2024 – present

I am currently continuing my education at Masters level, developing skills in advanced IT, data analytics and business systems.

Certificates

On December 9, 2024, I earned a certification in AI Development and Agents from the esteemed AI_devs3 Agents program. This intensive 5-week course provided me with hands-on experience in designing and implementing cutting-edge AI solutions.

Core Skills Acquired
  1. Interacting with LLM’s API
    • Developed expertise in working with APIs from providers like OpenAI, Anthropic, and DeepMind.
    • Mastered advanced prompt design, automated evaluation techniques, and managing LLM limitations.
    • Leveraged tools like Langfuse and Promptfoo to optimize API workflows.
  2. Multimodality in Practice
    • Gained proficiency in processing multimodal data (text, image, audio, and video).
    • Designed real-time voice interfaces and used tools like ComfyUI for advanced graphic generation.
    • Combined content formats and optimized performance for long-form document handling.
  3. AI Integration & Interfaces
    • Processed structured and unstructured data for RAG (retrieval-augmented generation).
    • Built tools linking AI agents to applications and services, ensuring safety and privacy.
  4. Building Advanced AI Agents
    • Created custom AI agents with multi-step logic for dynamic use cases.
    • Built autonomous agents and developed long-term memory systems for improving reliability.
Course Highlights
  • 25+ lessons and coursework activities.
  • 5 live meetings with instructors and peers for collaboration.
  • Mentorship from industry leaders: Adam Gospodarczyk, Jakub Mrugalski, and Mateusz Chrobok.

This certification represents my dedication to mastering AI and using it to solve real-world challenges.

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