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tmvfb/README.md

Hi, I'm Igor 👋

LinkedIn

AI Platform Engineer working on ML infrastructure, model serving, and MLOps systems. I build the systems that bring machine learning from experiments into production.

I’m interested in the infrastructure side of AI — not only models, but the software and hardware that makes them usable in real-world environments.

🧠 What I do

I work at prokube helping to build a kubeflow-based AI/MLOps platform. My focus areas:

  • ML infrastructure & platform engineering
  • Model serving
  • MLOps / LLMOps tooling

🛠 Skills

🚀 ML Platform & MLOps

Kubernetes Kubeflow KServe vLLM Argo Workflows Istio GitHub Actions

⚙️ Infrastructure & Systems

Docker Linux

🧠 ML & Data Workloads

PySpark Pandas Scikit-Learn

🧩 Backend & Tooling

Python Django

⚙️ Background

  • MSc (equivalent) degree in Chemistry from Lomonosov Moscow State University
  • 2 years in clinical research operations in the pharmaceutical industry
  • MSc in Data Science from Leuphana University Lüneburg

Pinned Loading

  1. dotfiles dotfiles Public

    Forked from mokevnin/dotfiles

    neovim config

    Lua

  2. kubeflow/pipelines kubeflow/pipelines Public

    Machine Learning Pipelines for Kubeflow

    Python 4.1k 2k

  3. kserve/kserve kserve/kserve Public

    Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes

    Go 5.2k 1.4k

  4. taxi-trips-predictions taxi-trips-predictions Public

    Handling big data with PySpark and Docker

    Jupyter Notebook 2

  5. english-exercises-app english-exercises-app Public

    Django web app that generates English practice exercises from an uploaded text

    Python

  6. jannpf/maoarm jannpf/maoarm Public

    Python 4