V V.
Junior Software Development Engineer in Test (SDET)
Open to offersNew to PlatformAbout
Nukala M., a dedicated Computer Science student from Andhra Pradesh, India, is actively pursuing an internship as an SDET, showcasing a blend of software development and testing proficiency. Currently, Nukala demonstrates expertise in technologies like Java, Spring Boot, and MySQL, alongside API testing and defect tracking. In his role as a project lead for a Bus Ticket Reservation System, he developed comprehensive API test suites and led a small Agile team, highlighting his skill in Postman and agile methodologies. Nukala also excelled in specialized projects, such as the Traffic Intelligence System, where he applied Python and machine learning to enhance data prediction models. He brings practical AWS knowledge, including automated test script development using AI tools like Claude Code and Cursor, instrumental in accelerating quality assurance processes. Currently pursuing a B.Tech in Computer Science, Nukala is well-prepared to contribute innovative testing strategies in dynamic technical environments.
Experience
Project Lead
Bus Ticket Reservation SystemDesigned and executed a manual and Postman-based API test suite for over 10 REST endpoints, focusing on functional, integration, and regression testing. Crafted a regression testing checklist that identified integration bugs prior to release, collaborating with developers to resolve defects. Evaluated a 6-table MySQL schema and query logs for data integrity and consistency during concurrent booking requests. Guided a 3-member team through Agile sprint cycles, aligning test coverage and defect triage with project milestones. Utilized AI-assisted tools like Claude Code and Cursor to enhance testing workflows and maintain ownership of test quality.Individual Contributor
Traffic Intelligence SystemDeveloped and validated Random Forest and Linear Regression models on a dataset exceeding 50,000 records, employing RMSE, MAE, and R² metrics to evaluate model performance. Conducted feature-level analysis to identify prediction errors, enhancing baseline accuracy significantly. Generated structured reports documenting testing benchmarks and error segments, reflecting a systematic approach in analyzing and reporting within QA.
Skills & Expertise
Education
- B.Tech — Computer Science and EngineeringBonam Venkata Chalamayya Engineering College (JNTUK) · 2022 — Present
- 12th Grade — MPCAditya Junior College · 2020 — 2022
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