08/28/2024 updated
100 % available
Backend Engineer, Python Developer, AI engineer
Bazylivshchyna, Poltava, Ukraine
Only remote
B.Sc of Computer ScienceJava (Programming Language)JavaScriptPHPA/B TestingApplication Programming Interfaces (APIs)Agile MethodologyArtificial IntelligenceAmazon Web ServicesMicrosoft AzureC++ (Programming Language)Cloud ComputingSoftware QualityCode ReviewDatabasesInformation Engineering
A/B testing, Agile development, Amazon Web Services, Hadoop, Kafka, APIs, API documentation, AI, backend development, backend, C++, chatbot, cloud infrastructure, cloud, code reviews, Data pipeline, Data processing, data flow, database performance, database, Django, Docker, Express.js, FastAPI, Flask, ChatGPT, GPT-4, Google Analytics, Google Cloud Platform, data engineering, Computer Science, Java, Javascript, Keras, Kubernetes, Laravel, Machine Learning, machine learning algorithms, microservices architecture, Microsoft Azure, MongoDB, MySQL, Node.js, PHP, Payment Gateway, performance tuning, Plotly, PostgreSQL, PySpark, Python, RabbitMQ, RESTful APIs, Restful API, SQL, sprint planning, serverless, code quality, Spring MVC, high availability, Zapier
Experience
Professional experience5 - 10 years
Freelancer since2021
Languages
EnglishFluent
Project history
* Developed and optimized scalable backend systems for
Data processing applications using Python and Node.js.
* Designed RESTful APIs to facilitate seamless integration
between front-end applications and Data pipeline.
* Collaborated with data scientists to implement machine
learning algorithms into production environments.
* Managed cloud infrastructure on GCP, ensuring high
availability and performance of Payment Gateway
Integration services.
* Implemented microservices architecture to enhance
modularity and maintainability of Payment data flow
solutions.
* Utilized Docker and Kubernetes for containerization and
orchestration of Django applications.
* Participated in Agile development processes, contributing to
sprint planning and retrospectives.
* Conducted A/B testing and performance tuning to optimize
AI model inference times.
* Documented technical specifications and maintained
comprehensive API documentation for developers.
Data processing applications using Python and Node.js.
* Designed RESTful APIs to facilitate seamless integration
between front-end applications and Data pipeline.
* Collaborated with data scientists to implement machine
learning algorithms into production environments.
* Managed cloud infrastructure on GCP, ensuring high
availability and performance of Payment Gateway
Integration services.
* Implemented microservices architecture to enhance
modularity and maintainability of Payment data flow
solutions.
* Utilized Docker and Kubernetes for containerization and
orchestration of Django applications.
* Participated in Agile development processes, contributing to
sprint planning and retrospectives.
* Conducted A/B testing and performance tuning to optimize
AI model inference times.
* Documented technical specifications and maintained
comprehensive API documentation for developers.
* Developed and maintained a web chatbot using machine
learning and ChatGPT technology with vector database
* Implemented TTS tech to enhance the UX
* Managed clean, efficient and well-documented code
* Ensured the scalability and reliability of the chatbot
* Stayed up-to-date with the latest AI trends and technologies
learning and ChatGPT technology with vector database
* Implemented TTS tech to enhance the UX
* Managed clean, efficient and well-documented code
* Ensured the scalability and reliability of the chatbot
* Stayed up-to-date with the latest AI trends and technologies
* Took part in the architecture design and technical stack
definition for a cloud native / serverless AI product
* Implemented and maintained data engineering pipelines for
data injection and near real-time AI model inference
* Participated in code reviews and strive for the high code
quality, build quality gates to ensure the high code
standards
definition for a cloud native / serverless AI product
* Implemented and maintained data engineering pipelines for
data injection and near real-time AI model inference
* Participated in code reviews and strive for the high code
quality, build quality gates to ensure the high code
standards