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Available for Global Opportunities
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Available for Global Opportunities
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Achievement: Galaxy BrainAchievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLOAchievement: Pull Sharkx2

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mkdirer/README.md

Hi πŸ‘‹ I'm Łukasz (mkdirer)

AI Developer | Python & Cloud Enthusiast | MLOps & Automation Expert

mkdirer

πŸš€ About Me

  • πŸ”¬ AI Developer with 3+ years of experience designing and deploying intelligent process automation solutions (IPA) in enterprise environments.
  • 🧠 Skilled in developing NLP-based chatbots, intelligent document processing systems, and real-time predictive analytics platforms using Python, TensorFlow, PyTorch, spaCy, and Transformers.
  • ☁️ Strong background in deploying scalable AI systems to Azure, AWS, and GCP, using tools like Docker, Kubernetes, and CI/CD pipelines.
  • πŸ§ͺ Passionate about MLOps and cloud-native architectures β€” MLflow, Vertex AI, SageMaker, Azure ML, GitLab CI/CD.
  • πŸ€– Experienced in integrating AI/ML models into RPA workflows using UiPath, APIs, and scalable microservices.
  • 🀝 Open to collaborations, mentorship, and tech knowledge sharing.

πŸ’Ό Selected Project Highlights

🧠 Generative AI Chatbot for Customer Service (ABB)

  • Tech: Python, spaCy, Azure AI Studio, HuggingFace Transformers, Docker, AKS, Elasticsearch
  • Chatbot trained on support transcripts + deployed with auto-scaling to production using CI/CD pipelines.

βš™οΈ MLOps Platform for Predictive Maintenance (BWI)

  • Tech: MLflow, scikit-learn, TensorFlow, FastAPI, Kubernetes (GKE), GitLab CI
  • Full MLOps lifecycle: model training, deployment, monitoring with Prometheus + Grafana.

🧾 Intelligent Invoice Processing Automation (ABB)

  • Tech: Python, Tesseract OCR, UiPath, AWS SageMaker, Docker, Elasticsearch
  • AI-driven OCR + NLP pipeline connected to RPA bots automating data entry to ERP.

πŸ“ Blog & Research

Currently working on two articles merging AI, AR/VR, and real-time detection:

πŸ” Comparative Analysis of Object Detection and Tracking Frameworks for Real-Time 3D Object Placement in Mixed Reality

  • Tech: MobileNet-SSDv2, Vuforia, VisionLib
  • Focus: Accuracy, tracking stability, and performance of vision frameworks in mobile and wearable XR.

🧰 Interactive VR Teaching Tool for Electronics Using Unity, VRTK, and Oculus Quest 2

  • Tech: Unity, C#, Oculus SDK
  • Focus: Building an immersive learning platform for electronics education using virtual hands-on labs and object detection.

πŸ”— Blog posts and demos coming soon!

πŸ› οΈ Tech Stack

πŸ”§ Languages:

Python Bash C++ C# TypeScript

☁️ Cloud & Infrastructure:

Azure AWS GCP Azure DevOps S3 EC2

πŸ“¦ DevOps & MLOps:

Docker Kubernetes GitHub Actions GitLab CI Jenkins MLflow Apache Airflow

πŸ“Š Monitoring & Observability:

Prometheus Grafana Elasticsearch Kibana

πŸ€– AI, ML & NLP:

TensorFlow PyTorch Transformers spaCy scikit-learn Pandas NumPy OpenCV OCR

πŸ“š Data, APIs, Messaging:

SQL PostgreSQL MySQL Redis Kafka REST API

βš™οΈ RPA & Automation:

UiPath

πŸ“œ Certifications (Look up to my LinkedIn)

  • πŸ›‘οΈ GIAC Security Essentials (GSEC) – enterprise security, cloud, SIEM, incident response
  • πŸ€– NVIDIA (x7+) – Transformer NLP, CUDA C++, MLOps, ML model deployment
  • ☁️ DevOps on AWS – CI/CD pipelines, monitoring, infrastructure as code
  • πŸ§ͺ Java Security & App Hardening – XSS, SQLi prevention, secure APIs

πŸ”— Connect with Me

πŸ“Š GitHub Stats

β˜• Support

Pinned Loading

  1. Predicting-Water-Potability-with-an-End-to-End-MLOps-Workflow Predicting-Water-Potability-with-an-End-to-End-MLOps-Workflow Public

    Predicting Water Potability with an End-to-End MLOps Workflow

    Python

  2. MR-Electronics-Interactive-Lab MR-Electronics-Interactive-Lab Public

    An MR application for electronics education, offering interactive simulations of circuits and equipment like oscilloscopes and generators. Guides users through safe, step-by-step construction of el…

    C#

  3. Multivariate-Time-Series-Forecasting-Using-Transformers Multivariate-Time-Series-Forecasting-Using-Transformers Public

    This project develops a Transformers-based neural network for modeling and forecasting multivariate time series data from a COVID-19 dataset in Poland. The implementation is in Python, utilizing th…

    Jupyter Notebook 4 1

  4. Disaster-Tweet-NLP-AdaBoost-Transformers Disaster-Tweet-NLP-AdaBoost-Transformers Public

    A machine learning project that classifies tweets as disaster-related or non-disaster-related using transformers and the AdaBoost technique. Achieved an accuracy of approximately 80% on the validat…

    Jupyter Notebook

  5. Depression-Data-Analysis Depression-Data-Analysis Public

    This project analyzes a Kaggle depression dataset using data preprocessing, clustering, classification, and outlier detection techniques. Python libraries like pandas, numpy, matplotlib, seaborn, a…

    Jupyter Notebook

  6. Classifying-documents-distributed-and-parallel Classifying-documents-distributed-and-parallel Public

    Classifying documents in the form of a distributed and parallel application such as Manager Workers

    C++