M S NAVEEN KUMAR
Professional Summary
Junior Software Developer with 0.8 years of internship experience building web applications and machine-learning prototypes. Skilled in Java and Python, with hands-on experience developing backend services using Spring, Hibernate and JDBC and full-stack features using Django, React JS and Bootstrap. Completed internships contributing Django-based web apps, implementing 10+ user-facing interfaces and building Java business modules. Conducted an NLP research project applying Transformer-based models (BERT) and GAN techniques with SMOTE variants to detect fraudulent job ads, achieving a top balanced accuracy of 90%. Comfortable writing SQL and database-integrated server code (MySQL, SQLPlus) and using Git for collaboration. Seeking an entry-level full-stack or ML/NLP engineering role where I can apply both production web-development and applied ML experience.
Technical Skills
Work Experience
- Implemented a basic calculator application using Python to validate core programming and algorithm understanding during the internship.
- Developed 10+ user-friendly interfaces using Django views and templating to deliver interactive pages and prototypes.
- Built CRUD backend endpoints using Django ORM and integrated persistence with MySQL for application data storage.
- Implemented interactive front-end components using React JS and Bootstrap to improve client-side interactivity and responsiveness.
- Migrated legacy jQuery UI components to React and optimized client-side scripts to simplify maintenance and reduce UI complexity.
- Documented implemented features, authored README guides and used Git for version control while collaborating with the engineering team.
- Developed Java backend modules using core Java and JDBC to implement business logic and data access layers.
- Integrated persistence solutions using Hibernate and configured dependency injection with Spring Framework for modular services.
- Built RESTful APIs using Spring MVC to expose application services and enable front-end integration.
- Created server-side pages and request-handling controllers using Servlets and JSP for legacy-compatible modules.
- Authored SQL scripts and performed database validation using SQLPlus for backend data workflows and testing.
- Led peer code reviews and conducted knowledge-sharing sessions on modern Java practices and object-oriented design.
Projects
- Applied Transformer-based NLP model (BERT) and Generative Adversarial Network (GAN) techniques to detect fraudulent job advertisements on digital platforms.
- Implemented and compared ten SMOTE variants for class imbalance mitigation; combined BERT with SMOBD SMOTE to produce the best results.
- Achieved a highest balanced accuracy of 90% with the BERT+SMOBD SMOTE approach, demonstrating effective detection performance on imbalanced recruitment datasets.
Education
Certifications
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