I’m Ahnis Singh Aneja, a 3rd-year B.Tech Computer Science student passionate about building intelligent, secure, and scalable software systems. With hands-on experience in Java (21+), Spring Boot, microservices, and AI integration, I’ve developed production-grade backend platforms including an AI-powered mental health journaling app and a microservices-based e-commerce system. I also have experience with modern frontend stacks like React Native, and Tailwind CSS. I enjoy solving real-world problems through clean architecture, thoughtful design, and collaborative development.
Trainee Developer
Highlights
Contributed to optimizing a hospital management system built with SvelteKit, reducing API response times by 40% through effective caching strategies.
Implemented AsyncStorage for caching in React Native apps, improving data retrieval speed and enhancing app performance by 25%.
Reduced server load by 30% by optimizing API calls and introducing efficient data management solution
Bachelor of Technology
Computer Science and Engineering
Grade: 7.18
Issued By
IBM
Issued By
Udemy
Issued By
Udemy
Issued By
Udemy
Issued By
Udemy
Issued By
Udemy
MongoDB, PostgreSQL, Milvus, Redis.
HTML/CSS, Tailwind, JavaScript, React.js, React Native, SvelteKit, Expo.
Java (21+), Spring Boot (3.0+), Spring AI, Microservices, Node.js, Express.js, Python, RESTful API design.
Git/GitHub, Maven, JUnit, Mockito, Docker, Kubernetes, Kafka, Zipkin, GraalVM.
Summary
Built a microservices-based e-commerce platform using Spring Boot with Keycloak for secure authentication and authorization. Leveraged Kafka for asynchronous communication and Spring Cloud Config Server for centralized configuration management. Integrated API Gateway for routing and security, and Zipkin for distributed tracing, improving monitoring and debugging. Optimized database queries, reducing response time by 40% and enhancing system performance.
Summary
Built a Spring Al based mental health platform with JWT authentication, RBAC, and admin operations. Designed user, journal, analysis, chatbot, and notification modules with MongoDB Atlas for data storage. Embedded journal entries as vectors in Milvus (Zilliz Cloud) for AI-driven insights and recommendations. Developed a gamified journaling system with streak tracking and a reminder system. Implemented an AI-powered chatbot using Tool Calling, analyzing user preferences and journals for therapy guidance and crisis prevention. Automated therapy reports with cron jobs, leveraging generative AI, virtual threads, and SendGrid for scheduled email delivery.
Summary
Developed features for the Rise app, allowing students to attempt quizzes, track progress, and accomplish milestones. Implemented a single-device sign-on feature, ensuring secure and efficient login. Worked on delivering a smooth and engaging UI, enhancing overall user experience on both Android and iOS devices. Utilized React Native, Expo, and Zustand JS for a responsive and high-performance app.
