Taniya Adhikari

Aspiring AI Engineer with a B.Tech in CSE. Real-world experience in AI-based system development and technology solution through an internship at the National Institute of Malaria Research. Proficient in Python, Java, Spring Boot, and various development tools, including Splunk, Postman, and SonarQube.

Dissertation Trainee at National Institute of Malaria Research (2026-01 – 2026-05)

• Developed AI-based system for malaria detection and classification (achieved 99% accuracy in RBC detection using YOLO and 95% accuracy in multiclass stage classification using EfficientNet-B1) using microscopic blood smear images.
• Performed data preprocessing, annotation, and dataset curation for multiclass malaria stage classification (1,300 images each across Uninfected, Ring, Trophozoite, and Schizont classes) and collaborated in a research-driven environment to build automated disease diagnosis solutions.

Project Intern at Infosys Springboard (2024-12 – 2025-02)

• Wrote unit test cases with JUnit & Mockito, within an Agile development workflow, using GitHub for version control and collaborative code management driving SonarQube code coverage to approx. 100%.
• Led a 4-person team as Scrum Master during a 2-week sprint, facilitating daily stand-ups and maintaining sprint documentation to keep deliverables on track.
• Documented all backend REST APIs using Swagger to standardize integration.
• Integrated Splunk for real-time log monitoring and analytics, improving visibility into system performance.
• Used Postman for manual and automated API testing across booking, registration, and reservation endpoints to validate functional correctness before release.

Bachelor in Technology in Computer Science Engineering – JIMS Engineering Management Technical Campus, GGSIPU (2022-11 – 2026-06)