I am a programmer with many years of experience, starting my adventure with C++ in childhood, through C# during undergraduate studies and internships, up to Python in large financial environments.
My experience in frontend technologies is quite fresh, but I've already managed to write in React, Vue and Svelte, and I've stuck with Svelte - this portfolio was prepared using Svelte and Sveltia (CMS).
A few dry facts about me:
Cooperation principles: I value flexibility and transparency from day one. I'm always happy to sign an NDA and will ensure the confidentiality of your data, but due to my own projects and freedom of action I do not accept non-compete agreements. I lay out the matter openly from the start, respecting both sides' time.
I spent most of my career in the financial industry. I created both smaller stock exchange applications (including for mBank), as well as large-scale consumer credit engines and systems integrating with banking infrastructure.
My master's specialization combined with a diploma in IDPS system implementation. I hold an ISO 27001 internal auditor certificate and regularly sharpen my skills on platforms like TryHackMe — because cybersecurity is a lifestyle, not an add-on to a project.
I approach AI like an engineer — without blind enthusiasm, but with a deep understanding of technology. During my studies, I co-created an AI research circle, participated in research projects, and spoke at conferences (including on Copilot and IBM Watson). I don't force AI into every feature — I implement it only where it brings real business value.
My main task is to develop the Polish artificial intelligence model (PLLuM) and applications related to it, this is my latest collaboration so the description may still change
High-volume integrations: I was responsible for creating and developing REST APIs for clients and microservices of the main decision engine processing millions of requests annually.
Optimization: I ensured low latency and high SLA (99.9%) for critical services through continuous monitoring and improvement.
Python & Automation: I created scripts automating credit process parameterization, reducing new product implementation time by 80%.
Advanced analytics: I utilized advanced SQL language for statistical analysis, process performance optimization, and percentile analysis during decision-making.
GenAI implementation leader: I conducted training on prompt engineering and participated in pilot programs for the Copilot tool within the unit.
Team management: For one year I managed my own development team in collaboration with the product owner.
Technology Stack: FastAPI, mitmproxy, scikit-learn, pandas Specialization: Cybersecurity Thesis: Designing and implementing machine learning models for network traffic classification and anomaly detection at Layer 7 of the OSI model.
Tech Stack: Unity, C#, WPF
Specialization: Game development
Thesis: Original game project created in C#.

ISO/IEC 27001 – Internal Auditor — skilled in planning and conducting internal audits of an Information Security Management System (ISMS) based on the Deming cycle (Plan-Do-Check-Act): assessing compliance with the standard's requirements and Annex A controls, identifying nonconformities and risks, and producing findings that drive continual improvement of the ISMS.

The full AI model lifecycle in a business context: from LLM applications and building RAG (Retrieval-Augmented Generation) systems, through LLM security, to regulatory compliance (AI Act, GDPR) and responsible AI deployment in an organization.

A broad foundation in both offensive and defensive cybersecurity: Linux fundamentals, Windows/Active Directory, networking (Wireshark, Nmap, Tcpdump), cryptography, exploitation basics (Metasploit), web application security (OWASP Top 10, Burp Suite), and SOC essentials — incident response, SIEM, and digital forensics.

Hands-on foundations of penetration testing: reconnaissance and exploitation methodology, network and web application security (OWASP Top 10), Active Directory basics, privilege escalation, and professional report writing for engagement findings.

CCNP: Core Networking (Cisco Networking Academy) — hands-on skills in designing and securing enterprise-grade networks: routing protocol configuration (EIGRP, OSPF, eBGP), site-to-site VPNs, QoS, virtualization, and network automation, built across 40+ labs on Cisco hardware.

Tier 1/2 SOC analyst competencies: security monitoring (SIEM, NetFlow, log and traffic analysis), host- and network-based intrusion analysis (IDS/IPS, Wireshark, malware analysis), and incident response policies and procedures aligned with the MITRE ATT&CK and NIST frameworks.

DP-900: Azure Data Fundamentals (Microsoft) — foundational knowledge of working with data on Azure: relational data models (Azure SQL Database, SQL Managed Instance) and non-relational data (Cosmos DB, Blob Storage, Table Storage), plus building analytics workloads with Synapse Analytics, Data Factory, and Power BI.

Deeper language mechanics used in practice: object-oriented programming (classes, inheritance and extension), decorators, iterators and generators, context managers, and robust error/exception handling.