
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
openrouter-api-credit-usage-schedular
March 9, 2026 – Present
openrouter-api-credit-usage-schedular — GitHub repository
View ProjectLawyer-management-system-microservice
August 15, 2025 – August 22, 2025
Lawyer-management-system-microservice — GitHub repository
View ProjectPatient-management-system-microservice
July 21, 2025 – July 26, 2025
Patient-management-system-microservice — GitHub repository
View ProjectE-commerce-microservice-java-backend-practise
July 10, 2025 – July 15, 2025
E-commerce-microservice-java-backend-practise — GitHub repository
View ProjectSpring-Security-with-Role-Based-Access-Control
July 9, 2025 – July 9, 2025
Spring-Security-with-Role-Based-Access-Control — GitHub repository
View ProjectVirtual-Power-Plant-RestAPI-Backend
June 21, 2025 – June 24, 2025
Virtual-Power-Plant-RestAPI-Backend — GitHub repository
View ProjectBasic-SpringBoot-Kafka-Project
March 20, 2025 – March 20, 2025
Basic-SpringBoot-Kafka-Project — GitHub repository
View ProjectDesign-Pattern-practise
October 25, 2024 – October 27, 2024
Design-Pattern-practise — GitHub repository
View ProjectPayment-Service-Application
October 22, 2024 – October 22, 2024
Payment-Service-Application — GitHub repository
View ProjectCultural Fit Analysis
The candidate shows a strong initiative through numerous personal projects, indicating a self-starter attitude. The projects are highly relevant to a Backend Engineer role, focusing on Java, Spring, and microservices. The diversity of project domains (e-commerce, payment, management systems) suggests adaptability and a broad interest in applying backend skills. However, without team-based project experience or detailed descriptions of contributions, assessing collaboration and broader cultural fit is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily showcases technical project work without details on collaboration, problem-solving approaches, or communication styles.