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Java Developer with less than a year in AI, Microservices, and cloud technologies.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A highly motivated B.Tech student specializing in Electronics and Communication Engineering, passionate about software development. Proficient in Java, Spring Boot, and React JS, with hands-on experience in building AI-powered applications, microservices architecture, and scalable RESTful APIs. Demonstrated strong problem-solving skills through competitive programming and actively contributed to various projects involving Kafka, MongoDB, and cloud platforms.
Indian Institute of Information Technology (IIIT) Una
B. Tech. · Electronics and Communication Engineering
August 1, 2022 – June 30, 2026
FitNest
June 1, 2024 – Present
Built an AI-powered Fitness Application using Java, Spring Boot, and a Microservices Architecture. Implemented User, Activity, and AI Recommendation Services with Eureka, API Gateway, and Config Server. Integrated RabbitMQ for async communication and Gemini API for AI-driven fitness recommendations. Secured the application using Keycloak OAuth2.0 PKCE Flow and built a responsive React JS frontend with Redux.
View ProjectReplix
June 1, 2024 – Present
Built an AI-powered Email Reply Application using Spring Boot backend, React JS frontend, and Google Gemini API for context-aware email responses. Integrated a browser extension for in-app AI email reply generation, improving email drafting efficiency by 80%.
View ProjectJournal App
June 1, 2024 – Present
Developed a secure, multi-user Journaling Platform where users can create, categorize, and manage private entries with real-time updates via Kafka and featuring automated weekly sentiment analysis reports delivered via Spring Mail and Task Scheduling. Secured sensitive user data by implementing Spring Security with JWT and OAuth2, reducing authentication latency by 20% through stateless session management and industry-standard security protocols. Boosted system throughput by 50% through the integration of Redis caching, significantly reducing database load. Architected and developed scalable RESTful APIs using Spring Boot, implementing Inversion of Control (IoC) and Dependency Injection (DI) to reduce code redundancy by 30% and improve system maintainability. Ensured 95%+ code coverage by engineering a robust testing suite using JUnit 5 and Mockito, decreasing production-level bugs by identifying edge cases during the CI/CD development phase
View ProjectJPMorgan Chase Software Engineering Simulation
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong alignment with a Java Developer role, particularly within a Spring Boot ecosystem. The diversity of projects (fitness app, email reply app, journaling platform) shows adaptability and a broad interest in applying technology to different domains. Involvement in competitive programming and hackathons suggests a drive for continuous learning and a collaborative spirit, which are positive indicators for cultural fit in a dynamic technical environment. The JPMorgan Chase simulation further indicates an interest in real-world enterprise challenges.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-component systems. The emphasis on security, performance optimization (caching, stateless sessions), and testing (95%+ code coverage) suggests a detail-oriented and quality-focused approach. Participation in competitive programming and hackathons points to a proactive and problem-solving mindset. Leadership experience in a club also suggests teamwork and organizational skills.