Kiril C.

Machine Learning Engineer

Kiril is a seasoned Computer Scientist with over a decade of experience across diverse industries such as political/election technology, gaming, supply chain management, remote sensing, proptech, and education.

His contributions include developing a scalable machine learning algorithm for satellite data analysis, significantly impacting urban planning and environmental monitoring.

Kiril's unique blend of technical prowess and creative passion underscores his commitment to excellence and continuous learning.

Hauptkompetenz
  • Flask
    Flask 4 Jahre
  • PostgreSQL
    PostgreSQL 5 Jahre
  • Python
    Python 6 Jahre
Andere Fähigkeiten
  • Kubernetes
    Kubernetes 5 Jahre
  • ETL
    ETL 3 Jahre
  • Apache Airflow
    Apache Airflow 3 Jahre
Kiril
Kiril C.

North Macedonia

Erste Schritte

Ausgewählte Erfahrung

Beschäftigung

  • Senior Machine Learning Engineer

    Resolute Asset Management - 3 jahre 10 monate

    • Developed, trained, and deployed Deep Learning solutions on the Google Cloud platform.
    • Developed and deployed big data processing pipelines to production.
    • Developed ML models estimating asset quality from images, asset valuation from characteristics, and feature extraction from documents.
    • Managed Google Cloud triggers and configurations for defining and utilizing CI/CD pipelines.
    • Conducted interviews for Machine Learning / Data Science positions.

    Technologien:

    • Technologien:
    • ETL ETL
    • Apache Airflow Apache Airflow
    • Flask Flask
    • PostgreSQL PostgreSQL
    • Redis Redis
    • Pandas Pandas
    • NLP
    • Computer Vision
    • SQLAlchemy SQLAlchemy
    • Google Cloud Google Cloud
    • OpenCV OpenCV
    • Kubeflow Kubeflow
    • Dataflow Dataflow
    • LangChain LangChain
    • Apache Spark Apache Spark
    • Kubernetes Kubernetes
    • Scikit-learn Scikit-learn
    • PyTorch
    • Docker Docker
    • Machine Learning Machine Learning
    • MLOps
  • Lecturer and Content Developer

    Brinster Academy - 2 jahre

    • Developed curriculum and content for courses in Machine Learning, Big Data, and Final Projects.
    • Mentored and taught students diverse topics of Machine Learning and Big Data.
    • Organized online webinars for Deep Learning and Machine Learning.

    Technologien:

    • Technologien:
    • Flask Flask
    • Python Python
    • Pandas Pandas
    • NLP
    • Computer Vision
    • Hadoop Hadoop
    • Apache Hive Apache Hive
    • OpenCV OpenCV
    • Apache Spark Apache Spark
    • Scikit-learn Scikit-learn
    • TensorFlow TensorFlow
    • Keras Keras
    • Docker Docker
    • Machine Learning Machine Learning
  • Machine Learning Engineer

    Symphony.is - 1 jahr 10 monate

    • Developed a computer vision model predicting house metrics based on large-scale satellite images.
    • Developed Computer-Vision/NLP models with high accuracy for production.
    • Integrated Machine Learning solutions to AWS Cloud Pipelines.
    • Utilized SageMaker to build, train, and deploy machine learning models efficiently.
    • Developed solution proposals for new clients.
    • Conducted interviews for Machine Learning / Data Science positions.

    Technologien:

    • Technologien:
    • Flask Flask
    • PostgreSQL PostgreSQL
    • Redis Redis
    • Python Python
    • Pandas Pandas
    • NLP
    • Computer Vision
    • AWS AWS
    • OpenCV OpenCV
    • Apache Spark Apache Spark
    • Kubernetes Kubernetes
    • Scikit-learn Scikit-learn
    • TensorFlow TensorFlow
    • Keras Keras
    • PyTorch
    • Docker Docker
    • Machine Learning Machine Learning

Ausbildung

  • MSc.Computer Science

    Faculty of Computer Science and Engineering - Skopje · 2019 - 2024

  • BSc.Computer Science

    Faculty of Computer Science and Engineering - Skopje · 2010 - 2014

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