GYULAI
From Romania (UTC+3)
Lemon.io stats
1
projects done426
hours workedGYULAI – Node.js, Angular, React
Application engineer and team leader, effective in analyzing relevant information and guiding product cycle from conception. Driven individual with the ability to adapt and deliver a product that includes best practices and also satisfies the needs of our clients.
10 years of commercial experience in
Main technologies
Additional skills
Direct hire
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Let’s get started today!Experience Highlights
Full stack developer Responsibilities: * creating the worker node and pool; * creating a simple platform for authenticated users to initiate transactions; * creating the smart contract; * developing a common protocol for data exchange between the nodes, pools and smart contract.
The platform aims to solve computational tasks like training a neural network via custom blockchain nodes. The payment for each task is done with the help of a crypto coin. Each transaction is blocked until the task is solved by the network and a reward is released to the node or pool whom gives a fit solution first.
Senior frontend developer and team lead Responsibilities: implementing design, task distribution, adapting use-cases and design to technical requirements.
The platform aims to connect construction project managers with service providers. Some core features are: multiple budget allocations via custom inputs and web spreadsheets, data visualization and filtration in charts, custom file drive, logic for adding invoices, communication between users via messages and events, construction project managment, custom logic for project state handling and bids, scheduling for meetings and availability.
Team Lead and Full Stack developer
The project aims to maintain a track of simptoms of infected persons. Patients could update how they are feeling and add medical data to a report on a daily basis. Doctors could view each patient and filter them by the unit where they are beeing taken care of. Doctors could also log medical prescriptions and view them in order to see how efficient it was. Medical reports could be generated in a pdf format.
Team Lead and Full Stack developer
A parking echosistem based on custom video cameras that record and detect where parking spaces are placed, when is a space available. The algorithm was fully autonomous and it used custom algorithms like image recognition and k-means clustering. The end useres could download a mobile app and view on a map the free parking lots. They would also get recommendations for best routes in order to find a parking spot.