Lina Yemely

Soft & Hardware
Engineer

01

A word
about me

I'm a design-minded software & hardware engineer focused on building beautiful interfaces & great experiences.

I'm experienced as a Lead Data Scientist, having been the core of the data science team at a security company KIVU Technologies and supervised the Data Science Track at a private coding academy in Vienna.

Presently, I run 1Action GmbH complementing my main role as the Managing Director with that of an R&D engineer, delving deep into Embedded systems, AI, low- and high-level Robotics and Digital Signal Processing.

My wish is to make this life a wonderful adventure by bridging the gap between people and technology. I still hold connecting with people incredibly important though, and enjoy having deep conversations about important and/or inspiring ideas.

Also, I love Marmite.

02

My
Experience

  • October 2021 - present

    Senseven GmbH

    Mobile Industrial Inspection Systems

    AI Architect

    • Responsible for all data science and machine learning activities
    • Applying feature engineering and signal processing methods to extract relevant information from ultrasound files
    • Supporting clients in defining the requirements for the ground truth data
    • AI Research & Development

  • October 2019 - present

    1Action GmbH

    IT-Solutions

    Managing Director | Software & Hardware Lead

    • Developing, tuning and optimising DSP algorithms and features for audio in C/C++ and Python;
    • Extensive work with JUCE framework;
    • Research & Development in the area of Artificial Intelligence algorithms (using TensorFlow, Keras, scikit-learn etc);
    • Design and programming of audio applications (desktop and mobile) using Bluetooth, microcontroller, sensors and audio signal processing devices.

    A sample project (2019): development of a low-cost single-axis precision linear motion-control system, reducing it to a single electromagnet solenoid and a spring as opposed to using linear motors or stepper drivers. The topic involves exploring numerical algorithms for building closed-loop feedback control.
    You can check it out by following this and this link.

    A sample project (2020-2021): a neural-network-based human resources aid system. It is a decision support technology helping to predict the effectiveness of integrating specialists into project teams. (link to follow)

  • September 2018 - October 2019

    Code Factory GmbH

    Coding Academy

    Data Scientist, Web-Developer & Programming Instructor

    Teaching courses in the field of Full-Stack Web-Development according to the following curriculum:
       • Front-End Web-Development:
       Version Control (Git -GitHub), HTML5, CSS3 (SASS), JavaScript, jQuery, Bootstrap, Project Documentation, TypeScript, Angular Framework
       • Back-End Web-Development:
       SQL (MySQL), SCRUM & Requirements Engineering, PHP, AJAX, Symfony PHP framework, WordPress, Software Testing, Complementary skills

    Development of the curriculum and teaching a brand new Data Science Track, consisting of:
       • Python Programming course
       • Data Analysis and Visualization course
       • Machine Learning course

  • November 2017 - September 2018

    KIVU Technologies GmbH

    Security Company

    Data Scientist

    • Development of an extensive data mining platform for multiple social networks (Python, Selenium);
    • Machine Learning and Natural Language Processing algorithms (Python and R);
    • Statistical data analysis (esp. Graph analysis, Business analysis and Telecom);
    • Data enrichment;
    • Data visualisation (using custom-created tools as well as Python visualisation libraries);
    • Statistical BigData analysis (C, Python);
    • Writing up data-analytical reports, preparation of customer projects.

  • October 2012 - June 2017

    United Nations Organisation, Ministry of Foreign Affairs, ...

    Varied

    Interpreter (freelancer)

    Real-time and consecutive translation between English and Russian during a number of official events,
    covering a large variety of topics, ranging from history and politics to technology and economy.

04

Contact

Mobile Number

+43 681 10417646

(for business inquiries only)

Social Networks

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