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Fullstack Engineer with 4+ years in Java, Spring Boot & Microservices.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Java Full Stack Developer with 4+ years of experience building scalable, high-performance enterprise applications using Java, Spring Boot, and microservices architecture. Strong expertise in backend system design, RESTful API development, database optimization, and cloud-based deployments. Proficient in developing end-to-end solutions with complementary frontend technologies like Angular and React, while maintaining a primary focus on backend robustness, security, and scalability. Experienced in Agile environments, CI/CD pipelines, and leveraging AI-assisted development tools like Cursor AI, Co-pilot to enhance productivity and code quality.
Lovely Professional University
Master of Computer Applications
January 1, 2022 – June 1, 2022
Omkarananda Institute of Management and Technology
Bachelor's in Information Technology · Information Technology
January 1, 2020 – June 1, 2020
Doodleblue Innovations
Senior Software Engineer
August 1, 2025 – Present
Noida, Uttar Pradesh, India
Nethus Technologies
Software Engineer
May 1, 2024 – July 1, 2025
Delhi, Delhi, India
Zycus
Software Engineer
July 1, 2022 – April 1, 2024
Mumbai, Maharashtra, India
Cultural Fit Analysis
The candidate's experience across multiple companies (Doodleblue, Nethus, Zycus) and diverse project responsibilities, from backend lead to supporting frontend, indicates adaptability and a broad skill set. Their involvement in code reviews and collaboration with various teams (DevOps, QA, UI/UX) suggests a team-oriented approach. The consistent focus on scalable enterprise applications aligns well with typical senior engineering roles.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through experience in Agile environments, CI/CD pipelines, and collaboration with cross-functional teams. Their leadership in code reviews and enforcement of OOP principles indicates good team collaboration and quality focus. The use of AI-assisted tools suggests adaptability and a proactive approach to productivity.