AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ai-car-sales-analytics
June 21, 2026 – Present
AI-powered Car Sales Analytics Platform built using Spring Boot, Spring AI, Meta Llama 3 (Ollama), MySQL, Streamlit, Plotly, Docker, and Docker Compose for intelligent business analytics.
View Projectdevops007
January 30, 2025 – January 30, 2025
learning devops ===============>>>>>>>>git,github,linux,docker,AWS,kubernetes,jenkins,terraform,Prometheus,Grafana
View ProjecteRetailApp
June 20, 2024 – June 21, 2024
This project demonstrates a microservices-based architecture using Java Spring Boot, Spring Data JPA, MySQL, MongoDB, WebClient, a load balancer, an API Gateway, and a Discovery Server.
View Projectincentive-management-module
March 6, 2024 – March 6, 2024
incentive-management-module — GitHub repository
View ProjectMOSHOP
January 17, 2024 – February 2, 2024
ONLINE SHOPPING PLATFORMDeveloped a robust and scalable online shopping application providing merchant and user with a seamless and secure e-commerce experience.
View Projectmicroservices-demo
January 12, 2024 – January 12, 2024
communication between two microservices using feignclient and registered to eureka server
View Projectuser-management-system
December 17, 2023 – December 19, 2023
user-management-system — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards backend and DevOps technologies, with several projects focused on Java, Spring Boot, and microservices. While there are projects involving HTML, CSS, and JavaScript (branching-strategy, chat-server, shivdatt), the depth of frontend-specific work is not clearly articulated. The target role is 'Frontend Developer', which suggests a potential mismatch in primary focus based on the project descriptions. The diversity of projects indicates a willingness to learn and explore various technologies.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.