Available to hire
I’m a Front-End Engineer with 2+ years of experience building fast, responsive web applications using React.js, Next.js, and TypeScript. I love turning design ideas into clean, user-friendly interfaces and focusing on smooth user experiences.
I’ve helped improve page performance by up to 35% and boosted engagement by 20% through performance optimizations, testing, and collaboration with cross-functional teams. I enjoy refining interfaces through feedback and testing to deliver intuitive products.
Skills
Language
Javanese
Advanced
Work Experience
Software Engineer at Prodapt Solutions
October 1, 2021 - August 1, 2023Developed a scalable Selenium-based automation framework using Java and TestNG for web chatbot applications, improving test execution efficiency by 90% and significantly reducing manual regression effort. Automated iOS chatbot test suites using Appium, increasing mobile test coverage to 70% and reducing production defects by 30%, resulting in improved release reliability. Improved backend reliability and performance by conducting REST API testing with Postman and performance testing with JMeter, ensuring stable end-to-end workflows. Accelerated defect resolution by 25% by providing developers with detailed bug documentation and root cause analysis, collaborating cross-functionally to validate fixes and ensure on-time feature releases. Created and organized test artifacts in JIRA and Confluence to improve sprint visibility and support timely feature releases.
Machine Learning Intern at Tech Fortune Technologies
March 1, 2021 - April 1, 2021Developed a ML classification system predicting wine quality with 90% accuracy across 1,599 samples by training and evaluating Random Forest, SVM, KNN, Decision Tree, Logistic Regression using Python & Scikit-learn. Boosted model reliability and generalization by building a structured machine learning workflow with StandardScaler and GridSearchCV, optimizing hyperparameters to achieve 88.5% cross-validation accuracy. Implemented a robust evaluation strategy by applying an 80/20 train-test split and training-only feature scaling using scikit-learn to prevent data leakage and ensure unbiased model performance. Derived actionable insights through exploratory data analysis and visualization using Pandas, Matplotlib, and Seaborn, identifying class imbalance and restructuring the problem into a business-ready binary classification system.
Front End Engineer Intern at Tech Fortune Technologies
March 1, 2021 - April 1, 2021Built responsive UI components using React.js, TypeScript, and Redux, improving cross-device compatibility and reducing UI inconsistencies by 20%. Implemented state management using Redux Toolkit and optimized rendering performance, reducing component load time by 25%. Collaborated on prototyping and interaction design using Framer and Notion, contributing to design systems and improving feature clarity during development cycles.
Education
Master of Science in Information Systems at Northeastern University, Boston
January 11, 2030 - May 1, 2026Bachelor of Engineering in Information Science at Jyothy Institute of Technology, Bangalore
January 11, 2030 - June 1, 2021Master of Science in Information Systems at Northeastern University, Boston, MA
January 11, 2030 - May 1, 2026Bachelor of Engineering in Information Science at Jyothy Institute of Technology, Bangalore, India
January 11, 2030 - June 1, 2021Qualifications
Industry Experience
Software & Internet, Media & Entertainment, Education, Healthcare, Professional Services, Telecommunications
Skills
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