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  1. Фрилансери

Liliia Fedorenko

Everything looks impossible before someone does it
Sleeping face
Liliia давно не була на сервісі.
Але на Freelancehunt також працюють 205 фрилансерів у категорії Розробка під iOS (iPhone та iPad), які професійно та вчасно виконають проєкт будь-якої складності.

Україна Київ, Україна
5 років тому
Вільний для роботи вільний для роботи
на сервісі 6 років
Фрилансер Liliia F. — Україна, Київ. Спеціалізація — Розробка під iOS (iPhone та iPad), AI та машинне навчання

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Резюме

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I represent SW dev company HUSPI. 

HUSPI is a software development and IT consulting company that specializes in Financial Technology (FinTech) and MedTech projects as well as e-commerce and large-scale databases. 

We build our web and mobile backend and frontend solutions for such clients as EasyPay (an online payment solution created by our team from scratch), REHA STIM (MedTech company), banking and the financial services institutions, and many others. 

Our core tech skills include: 

  1. JavaScript and its frameworks (Angular, Node, React, React Native, Ionic, etc);
  2. C#;
  3. ASP.NET MVC; ASP.NET;
  4. Databases (Oracle, MySQL, MSSQL, etc.) and their integration into business processes;
  5. We also have Unity3D in our skills portfolio.

HUSPI headquarters are located in Rzeszow, Poland, and the second office is in Kyiv, Ukraine.

Arranging the chaos of inspiration into vibrant business solutions - this is what drives our passion.

Навички та вміння

Програмування

Послуги

Мобільні додатки


Аутсорсінг та консалтинг

Портфоліо


  • Neural Solution

    Створення сайту під ключ
    Neural Solution — приклад роботи портфоліо фрілансера в категорії Створення сайту під ключ
    NeuralSolution is a company with the patent-pending technology able to extract a wide range of biometric readings from sensors, which helps to monitor and model the neural patterns.

    NeuralSolution approached the HUSPI team with the need to develop and implement the architecture of the project. Considering the vast amount of incoming data, we needed to set up complex processes to analyze the streaming data, transform it into specific characteristics, and send this processed data to a light bulb that would change color according to the emotion experienced.
    We also needed to create a dashboard for patients and doctors, where they can see recorded videos of themselves for further work.
    …
    The project's sensors are non-invasive, which means that all data is coming from video files and biometric parameters. Specially developed light bulb receives the parameters about emotions in real-time and its color reflects the state of the person's nervous system.

    Therefore, there were several tasks before HUSPI:

    Create the architecture and think through all the data processing, storage, and analysis rules in order to avoid crashes and mislabeling
    Develop the dashboard with the incoming data
    Create separate user permission rights for doctors, administrative personnel, and users
    Create all light bulb settings and integrate it with the dashboard's backend
    For these tasks, we have used the following technologies: React, Redux, Core UI, Node.js, Noble, PostgreSQL.

    This technology helps to accurately translate physiological information into useful for business metrics: engagement, attention, stress, sentiment, connectedness, etc.

  • Homeopath: Computer-Assisted Diagnosis Tool

    Python
    Homeopath: Computer-Assisted Diagnosis Tool — приклад роботи портфоліо фрілансера в категорії Python
    The Homeopath project is a Digital Health product. It is a disease diagnostic and treatment recommendation system with a focus on homeopathic medications. The Homeopath is intended to be for people with medical background and education.

    Strategy
    This project is a self-educating system for treatment recommendations, therefore the level of accuracy had to be very high. Having examined the technical requirements, we have done the following tasks:
    … Created and integrated several databases (including a database of homeopathic medications as well as various diseases and treatment results studies)
    Implemented data mining capabilities based on the patients' input
    Added the fuzzy logic algorithm and machine learning technologies to the system
    Developed the backend and frontend of the project
    Due to the self-educating feature, the system, once launched, would continuously update its records with newer findings, making the future patients' treatments more precise.

    Execution
    From the technical point, we have opted to use Python as our main machine learning language. The additional technologies included HTML, CSS, and Bootstrap.

Активність

  Останні ставки 10
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50 000 UAH
Backend для приложения
15 000 UAH
Создание сайта отельного комплекса под ключ
30 000 UAH
Создание сайта под ключ для салона красоты
1111 UAH
Додаток React Native
30 000 UAH
Сайт
15 000 UAH
REACT NATIVE. App/system that supports shipment of goods to Africa
30 000 UAH
Создание студенческого сайта (фриланс)
15 000 UAH
Платформа для заметок
15 000 UAH
Верстка сайта ПК, мобильная версия и приложение для ресторана
200 000 UAH