Tarunika K

Dynamic and detail-oriented Software Engineer with experience in developing applications using technologies like Spring Boot, Angular, and PostgreSQL. Skilled in building scalable, secure backend services, creating engaging user interfaces, and integrating AI/ML models to optimize performance. Proficient in problem-solving, effective communication, and working collaboratively in agile environments to deliver high-quality, user-centric solutions. Passionate about continuous learning and leveraging cutting-edge technologies to drive innovation.

• Applied Principal Component Analysis (PCA) to reduce the dimensionality of market signals and used Ordinary Least Squares (OLS) regression to compute optimal portfolio weights, adhering to user constraints and maximizing the Sharpe Ratio for risk-adjusted returns.
• Evaluated the portfolio's performance both in-sample and out-of-sample, achieving a Sharpe Ratio of 3.08, significantly surpassing the baseline (0.64) and visualized performance using distribution charts, cumulative returns, and risk-return comparisons.

• Designed and implemented a Full-Stack RecipeBook application using Spring Boot for the backend (with PostgreSQL for secure database storage), Angular for the frontend allowing users to register, log in, and manage recipes with features such as adding, viewing, and liking recipes.
• Integrated JWT-based authentication and BCryptPasswordEncoder for secure user authentication and performed unit testing using JUnit to ensure code quality and application reliability.

• Developed an AI-based system using XGBoost to detect open text passwords from unstructured data (CSV, Excel, JSON formats), leveraging machine learning to classify entries as ‘password’ or ‘non-password’ based on pre-trained patterns.
• Built a Python-based backend and React frontend web application for seamless file uploads and automatic detection of open text passwords, ensuring real-time analysis and reporting within the user interface.

Skill Vertex  

Domain - Artificial Intelligence (AI)  

I acquainted practical skills in AI implementation, data analysis and problem-solving, preparing them for roles in AI research and development.

• WIPRO TalentNext Course on Java Full Stack.
• Artificial Intelligence Training from SkillVertex.
• Introduction to Cyber Security by Cisco Networking Academy.