Java Developer with hands-on experience building backend and full-stack applications using Core Java, Spring Boot, REST APIs, MySQL, JDBC, and Apache Kafka. Seeking an opportunity to contribute to scalable backend solutions and grow as a Java Backend Developer.
JPMorgan Chase & Co. via Forage
Feb 2026
Completed a backend Java engineering simulation covering Apache Kafka integration, H2 database configuration, and REST API development mirroring real JPMorgan workflows. Built and tested a Kafka producer-consumer pipeline in Java.
Pahal Horizon
2024 · Remote
Designed and delivered responsive web interfaces integrated with a Spring Boot backend, translating client requirements into production-ready pages within agreed timelines.
Dayalbagh Educational Institute
2023
Applied programming concepts, sensor integration, and control logic to drone automation hardware projects, strengthening practical problem-solving and embedded systems awareness.
Dayalbagh Educational Institute
2023 – 2024
Designed automation workflows using sensor-driven IoT pipelines, replacing manual operational tasks and gaining hands-on experience with systems integration concepts applicable to backend development.
Integrated Dual Diploma-Degree Voc. Dip. IN I.T. & B.Sc., Computer Science
2022 – 2025
GPA: 6.81/10
Intermediate — PCM (Class XII)
2020 – 2022
GPA: 7.39/10
High School (Class X)
2018 – 2020
GPA: 7.72/10
Designed a Java Genetic Algorithm using tournament selection, crossover, and mutation to schedule tasks across virtual machines, reducing makespan by 20% versus the FCFS baseline. Built a Java Swing GUI with a real-time Gantt chart, generations-versus-makespan graph, and CSV export.
Built a distributed 2D physics engine in Java using MPJ Express to parallelise O(n2) collision detection, achieving 1.83x speedup on 4 MPI processes. Used MPI_Allgather and MPI_Reduce for inter-process synchronisation and designed sequential and parallel variants for benchmarking.
Built a Java Spring Boot and DeepLearning4J binary sentiment analyser and upgraded it to a Python scikit-learn multi-class text classifier using TF-IDF. Classified text into six categories and achieved 88% accuracy with Logistic Regression.
Built a full-stack personal portfolio using Java Spring Boot, Spring Data JPA, MySQL, and HTML/CSS, with an admin dashboard exposing CRUD REST endpoints for dynamically managing projects, skills, and achievements.
Executed functional and integration testing for restaurant management modules including order processing, billing, and menu management. Validated workflows and assisted with debugging and issue reporting.