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michelgokan/README.md

Welcome to Michel's GitHub Page! 👋

My name is Michel Gokan Khan & I’m a Stockholm-based technologist and entrepreneur, passionate about developing real, groundbreaking technology. As CEO and CTPO at Softwarify AB, currently in stealth mode, I’m leading the creation of a bleeding-edge AI-powered software development co-pilot. I’m also the CTO at Co-Cart AB, where I’m leading the tech behind Condé Nast’s VETTE. Previously, I served as CTO at Spotin AB, where I led the technology behind the product that was ultimately acquired by Condé Nast. I hold a PhD in Machine Learning from Karlstad University and conducted my PostDoc research at KTH Royal Institute of Technology in collaboration with AstraZeneca. My research includes developing and open-sourcing tools like PerfSim, PerfCam, NFV-Inspector, and sfc-stress, which are somewhat used in the industry. I’ve published more than a couple of dozen peer-reviewed scientific articles in top journals and conferences, including IEEE Transactions, with over 260 citations and several awards for my work. I’ve also spent time researching at Ericsson, focusing on microservice performance and optimization for 5G Core systems, and led teams in roles like Tech Lead and Solution Architect at RM Innovation, where I guided agile transformations and designed cutting-edge B2B2C solutions. I was also the founder of Olam Tech, where we served multiple customers worldwide, building innovative solutions like home automation systems, SaaS/PaaS solutions for online project assessments, and a complete online shopping solution, among many others. Throughout my career, I’ve built, optimized, and led teams through projects that blend research with real-world impact.

IMPORTANT NOTE: Unless otherwise mentioned in the README.md, any contributions or repositories on my account are not affiliated with any organization, company, or institution I am or was affiliated with.

Homepage Academic Homepage GitHub LinkedIn Twitter Gmail Outlook ResearchGate Google Scholar Medium

LIDo_Int

I recieved BSc degree in applied mathematics and continued with MSc in computer engineering @ Iran University of Science and Technology. I started my PhD journey with the Distributed Systems and Communications lab (DISCO) @ Karlstad University (KAU) in Sweden. During my PhD, I worked in Ericsson research and development department as a research intern and directly contributed to the projects related to optimizing both the 4G-LTE and the 5G core.

I have a established publications and inventions record. To know more about me and get access to the most recent information and updates about my research, please visit my homepage, my Linkedin profile, or follow me on Twitter.

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  1. perfsim perfsim Public

    A discrete-event simulator and digital twinning platform for cloud native service chains

    Python 4 1

  2. AstraZeneca/PerfCam AstraZeneca/PerfCam Public

    PoC Code for PerfCam: Digital Twinning for Production Lines Using 3D Gaussian Splatting and Vision Models

    Jupyter Notebook 14 2

  3. sfc-stress sfc-stress Public

    A docker-based and Kubernetes-ready synthetic service mesh - Generating CPU, memory, disk, and network-intensive workloads with the ability to link services together

    Shell 14 1

  4. AstraZeneca/PerfCam-Dataset AstraZeneca/PerfCam-Dataset Public

    Dataset for PerfCam: Digital Twinning for Production Lines Using 3D Gaussian Splatting and Vision Models

    Python 7 1

  5. NFV-Inspector NFV-Inspector Public archive

    NFV-Inspector: A systematic approach to profile and analyze virtual network functions

    JavaScript

  6. collectd-top collectd-top Public

    collectd-top: A plugin to measure and send top processes by CPU or Memory

    Perl 3