Ankith Y S
Open to work0 years experienceFull-stack Java developer
Full-stack Java developer with hands-on internship experience.
Standing Rank
Rank Not Available
Developer Badges
Badges Pending
Skills & Technologies
23 skillsWork Experience
Software Development Intern
Xworkz OD Pvt. Ltd.
- Developed and deployed full-stack Java web applications using Servlets, JSP, and MVC architecture, handling dynamic request routing, server-side rendering, and end-to-end feature delivery.
- Built and consumed RESTful APIs using Core Java and Collections framework, enabling seamless frontend-backend integration and improving application response performance.
- Designed and managed MySQL relational databases with optimized SQL queries, transaction management, and JDBC connectivity, ensuring data integrity and efficient CRUD operations.
- Improved code efficiency by 30% applying Java 8 features (Streams API, Lambda expressions, Functional Interfaces) and cut boilerplate by 40% using Project Lombok — improving team productivity.
- Followed Agile development practices, participated in sprint planning, code reviews, and collaborated with cross-functional teams to deliver features on schedule.
Projects
Employee Management System
- Built a production-ready responsive web application with full CRUD operations, real-time state management (React Hooks), search/filter functionality, and client-side form validation.
- Applied component-based architecture and reusable UI patterns, making the application easily scalable and maintainable — reducing future development effort significantly.
Bike Showroom Management System
- Engineered a complete enterprise web application covering inventory management, sales invoicing, and CRM with role- based access control (Admin/Staff), reducing manual errors by 60%.
- Designed a normalized database schema with concurrent transaction support, achieving 45% improvement in operational efficiency and ensuring data consistency across all modules.
Cocoon Health Detection — AI/ML
- Trained a Convolutional Neural Network on 5,000+ labeled images with data augmentation to classify silkworm cocoon health with 92% accuracy, replacing manual inspection entirely.
- Reduced quality control processing time by 70%, demonstrating ability to apply machine learning to solve real-world operational problems effectively.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
Project Delivery
Delivered 3 end-to-end projects independently across frontend, backend, and AI domains.
Cocoon Health Detection Accuracy
Trained a Convolutional Neural Network on 5,000+ labeled images with 92% accuracy.
About Details
Professional Bio
Full-stack Java developer with hands-on internship experience building and deploying production web applications using React.js, Servlets, JSP, and MySQL. Delivered 3 end-to-end projects across frontend, backend, and AI/ML independently, on schedule, and with measurable impact.
B.E. in Information Science & Engineering
Adichunchanagiri Institute of Technology, Chikkamagaluru (2021 - 2025)