lerkasan / cms Goto Github PK

https://lerkasan.net

https://github.com/lerkasan/boanerges

AI-driven interactive platform aimed at assisting job seekers in honing technical interview response skills.

Key features of the project:

• AI-Powered Question Generation: Leverages the capabilities of the ChatGPT API to autonomously present technical questions based on selected topics
• Seamless Voice Integration: Incorporates AWS Polly service to transform the ChatGPT-generated text questions into synthesized speech, offering a more immersive experience
• Real-Time Speech Transcription: Uses Deepgram API to transcribe user's responses in real time
• Intelligent Feedback System: Analyzes each response via ChatGPT, providing users with constructive feedback on their answers

Technologies used:

• Java 17
• Spring Boot
• Spring Security
• Spring MVC
• Spring Data
• JUnit
• Mockito
• RESTful API
• WebSockets
• SQL
• MySQL
• Flyway
• Maven
• Github Actions
• CI/CD
• Docker
• AWS (EC2, S3, ALB, ECS, IAM, Route53, SSM, VPC, CodeDeploy, ACM, STS, Polly)
• Terraform
• Deepgram API
• ChatGPT API

https://github.com/lerkasan/DevOps028.Demo-4 https://github.com/lerkasan/DevOps028.Demo-1-2-3

Deployment of dockerized SpringBoot web application to Kubernetes cluster on AWS using Jenkins pipeline, Dockerfiles composition, AWS cloud infrastructure provisioning using Terraform and AWS CLI, Jenkins configuration and deployment via pipelines, configuration management via Ansible, Tomcat configuration, Vagrant virtual machines configuration, bash scripting

Project role: DevOps Engineer Intern

Technologies used:

• AWS cloud
• Docker
• Kubernetes,
• Jenkins
• Terraform
• Ansible
• Vagrant
• Bash scripting
• Tomcat

https://github.com/lerkasan/gatsby-contentful-portfolio/tree/infra

Technologies used:

• Github Actions
• AWS S3 + Cloudfront for hosting a static web-site
• Pulumi

https://github.com/lerkasan/business_constructor

The project aims to explain basic stages of start-up legal registration procedure based on questionnaire answers. Also the project provides means to create adjustable questionnaires.

Project role: Java Developer Intern

Technologies used:

• Java 8
• Spring Framework (Boot, IoC, MVC, Data, Security)
• Maven, Gradle
• REST API
• Jenkins
• MySQL & H2

https://github.com/lerkasan/literature_collection

Technologies used:

• Java 8,
• Spring MVC
• JPA
• MySQL
• JSP
• Apache Tiles
• Maven

Project features:

• collecting information from Amazon Product Advertising API, Google Books Search API, Springer API, Crossref API about books, journals and journal articles
• downloading news from RSS resources
• searching Internet via parsing HTML response from Google
• storing information about books, journals and articles in database
• organizing mentioned information in users' library database

• https://github.com/lerkasan/gatsby-contentful-portfolio/tree/infra
• https://github.com/lerkasan/Task
• https://github.com/lerkasan/Test_Task