Kamil Zieliński

Deep Learning Engineer at AstroTeq.ai
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
Poznań, Wielkopolskie, Poland, PL
Languages
  • angielski Limited working proficiency

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
You need to have a working account to view this content.

Credentials

  • Preparing for Google Cloud Certification: Machine Learning Engineer
    Coursera
    Dec, 2022
    - Nov, 2024
  • Google Cloud Big Data and Machine Learning Fundamentals
    Coursera
    Nov, 2022
    - Nov, 2024
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    Coursera
    Feb, 2018
    - Nov, 2024
  • Convolutional Neural Networks
    Coursera
    Feb, 2018
    - Nov, 2024
  • Deep Learning Specialization
    Coursera
    Feb, 2018
    - Nov, 2024
  • Neural Networks and Deep Learning
    Coursera
    Feb, 2018
    - Nov, 2024
  • Sequence Models
    Coursera
    Feb, 2018
    - Nov, 2024
  • Structuring Machine Learning Projects
    Coursera
    Feb, 2018
    - Nov, 2024
  • Applied Data Science with Python Specialization
    Coursera
    Oct, 2017
    - Nov, 2024
  • Applied Machine Learning in Python
    Coursera
    Oct, 2017
    - Nov, 2024
  • Applied Plotting, Charting & Data Representation in Python
    Coursera
    Oct, 2017
    - Nov, 2024
  • Applied Social Network Analysis in Python
    Coursera
    Oct, 2017
    - Nov, 2024
  • Applied Text Mining in Python
    Coursera
    Oct, 2017
    - Nov, 2024
  • Introduction to Data Science in Python
    Coursera
    Oct, 2017
    - Nov, 2024
  • Machine Learning: Clustering & Retrieval
    Coursera
    Aug, 2017
    - Nov, 2024
  • Machine Learning Foundations: A Case Study Approach
    Coursera
    Aug, 2017
    - Nov, 2024
  • Machine Learning Specialization
    Coursera
    Aug, 2017
    - Nov, 2024
  • Machine Learning: Classification
    Coursera
    Aug, 2017
    - Nov, 2024
  • Machine Learning: Regression
    Coursera
    Aug, 2017
    - Nov, 2024
  • English B2
    Szkoła Językowa UAM
    Jun, 2017
    - Nov, 2024

Experience

    • Poland
    • Technology, Information and Internet
    • 1 - 100 Employee
    • Deep Learning Engineer
      • Jul 2023 - Present

      Goal: Build an AI system for earthquakes forecast Goal: Build an AI system for earthquakes forecast

    • United Kingdom
    • Financial Services
    • 700 & Above Employee
    • Senior Machine Learning Engineer
      • Mar 2023 - Aug 2023

      Goal: Build a ML detector of potential insider-trading Goal: Build a ML detector of potential insider-trading

    • Israel
    • Software Development
    • 1 - 100 Employee
    • Senior AI/ML engineer
      • Jun 2022 - Mar 2023

      Goal: AI-based revenue optimization in the airline industryKey responsibilities:- Being the first and most reputable ML employee in the company. Very important voice in team discussions.- Conduct sales data analysis from a machine learning perspective.- Develop general architectural solutions to complex problems of demand estimation and price optimization at an early stage of company development.- Research and implement non-sequential and sequential deep learning models for tabular data.- Lead the preparation of production infrastructure using Google Cloud ML tools (Vertex AI) to ensure scalability and reliability of the models.Key achievement:Developed a simple, robust demand estimation model that won most of the internal model competitions and was successfully working in production. Show less

    • Data Scientist
      • Jan 2020 - May 2022

    • Poland
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Deep Learning Engineer
      • Jan 2019 - Nov 2019

      Goal: Build a robotic call centerKey responsibilities:- Design and build automatic speech recognition (ASR) systems for specific tasks, such as date or time recognition, to enhance the accuracy of the conversational agent.- Develop intention recognition models with a custom architecture to accurately predict the customer's intent and improve the effectiveness of the robotic call center.- Create a repository for easy and customizable training of simple intention models to enable the team to quickly develop and deploy new conversational modules.- Train a Polish version of GPT-2 language model on DGX machine for research purposes.Key achievement:Played a key role in constructing a robot capable of convincing 10-20% of people that they were talking to another human. Show less

    • Junior Data Scientist
      • Sep 2018 - Dec 2018

Community

You need to have a working account to view this content. Click here to join now