Malte Iwanicki

Senior Software Engineer | Berlin, Germany

Greetings

I am a senior software engineer with expertise in data processing, analysis, and exploration. Combining a BSc in Informatics and an MFA in Arts, I aim to deliver minimalistic, elegant, and creative solutions for complex problems. My work emphasizes problem solving, creativity, data analysis, and visualization. Most of my experience is based on Python, JavaScript, and cloud services from AWS and Azure, but I am also comfortable across other languages and technologies. I love to learn and advance my skills while continuously optimizing my workflow.

Projects

The following are selected projects from my career and personal endeavors, highlighting my strengths in data science, engineering, backend development, and prototyping:

  1. Nanny Job Portal (2019)

    Platform connecting nannies and families, featuring web scraping, text classification, and backend development.
  2. Photovoltaic Efficiency Calculator (2019)

    Web app predicting solar panel efficiency based on location and weather data, showcasing data analysis and visualization.
  3. Instagram Bot Portal (2018–2020)

    Automation tool for Instagram interactions, focusing on prototyping and workflow optimization.
  4. AI Investment Scraper (2020–2022)

    AI-driven platform for sustainable investment analysis with data engineering and pipeline design.
  5. AI Text Classifier (2020–2022)

    Automated classifier identifying customer issues and matching to optimal responses, applying data science and NLP techniques.
  6. Cadastral-Data Platform (2022–2023)

    Extended web app for cadastral data to support multi-user ownership, async files, and API extensions, emphasizing backend engineering.
  7. Factory Performance Analysis (2022–2025)

    Analyzed factory performance using IoT sensor data and developed a real-time dashboard for material tracking, bottleneck detection, and production optimization. Applied large-scale time series analysis, visualization, and data engineering.
  8. Traffic Image Recognition (2025)

    Designed and deployed a CNN-based system for object detection, counting, and tracking of vehicles and pedestrians at U.S. street intersections. Built an interactive dashboard to visualize traffic statistics, leveraging a hybrid edge–cloud architecture for real-time processing and analysis. Applied data science, visualization, and backend development.

Coaching & Leadership

Other

Contact

Email: malte.iwa@gmail.com

LinkedIn: linkedin.com/in/malteiwanicki

Website: malteiwanicki.github.io