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@kamilmysliwiec

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Achievement: Public SponsorAchievement: YOLOAchievement: Pull Sharkx3Achievement: Quickdraw

Achievements

Achievement: Public SponsorAchievement: YOLOAchievement: Pull Sharkx3Achievement: Quickdraw

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mikhailbahdashych/README.md

Hello, World! I'm Mikhail 👋

Security Operations Engineer specializing in building and managing enterprise security programs, infrastructure security, identity and access management, and compliance automation.

Background in full-stack software development and hands-on experience with cloud infrastructure (AWS, GCP, Terraform, Ansible), networking (VLAN segmentation, VPN architecture, DNS/DNSSEC), and security tooling (XDR, vulnerability management, SIEM, MDM). Currently expanding into AI/ML with a focus on medical image segmentation and large language models.

Holding CompTIA Security+ and CCNA certifications.

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  1. mnemosyne mnemosyne Public archive

    Mnemosyne is a dynamic marketplace reminiscent of Amazon, eBay, and OLX, where individuals and businesses converge to engage in seamless transactions. With its user-friendly interface and diverse a…

    TypeScript 1

  2. personal-blog-front personal-blog-front Public

    Angular + SSR written personal blog and portfolio page web application. The place where I share my thoughts and knowledge.

    SCSS 1

  3. mcp-academic-researcher mcp-academic-researcher Public

    A full-stack research assistant using Model Context Protocol (MCP) with local LLM support via Ollama. Features paper search, notes management, citation handling, and PDF processing.

  4. multi-hop-vpn-infrastructure multi-hop-vpn-infrastructure Public

    This project is an Infrastructure-as-Code (IaC) implementation of a multi-hop VPN chain that can be deployed across multiple cloud providers

    HCL

  5. rnn-transformer-based-llm rnn-transformer-based-llm Public archive

    Small-scale language model based on two architectures: RNN and Transformer

    Python

  6. 3d-convolution-grad-cam-exercises 3d-convolution-grad-cam-exercises Public archive

    A project that is showing a demo of exercise recognition based on 3D-CONV with heatmap visualization (grad-CAM).

    Python