Vineeth Kumar Aska

Charlotte, NC ad30zy@r.postjobfree.com +1-980-***-**** linkedin.com/in/vineethkumaraska/ EDUCATION

University of North Carolina at Charlotte, Charlotte, NC Masters in Computer Science - CGPA : 3.87/4

TECHNICAL SKILLS

Jan 2023 - May 2024

● Programming languages: Java,C++, Python, C, JavaScript, React/Redux, TypeScript, Vue.JS, PHP, .NET Core.

● Web Technologies: HTML5, CSS, Next.js, React.js, Django, Angular, Tailwind CSS, Ant Design, REST, NodeJS.

● Frameworks: REST API, SOAP services, Express JS, Angular, Spring, Hibernate, PyQt, JUnit, JMeter, Selenium, Jest.

● Libraries: Numpy, Pandas, Scikit-Learn, Matplotlib, Tensor Flow, Pytorch, Keras, Beautiful Soup.

● Databases: MySQL, Oracle, SQL Server, Mono DB and Maria DB, No Sql.

● Tools and Platforms: Git, IntelliJ, Visual Studio Code, Jupyter Notebook, Jira, Jenkins, Gitlab, Tableau, Linux, Ubuntu. WORK EXPERIENCE

Teaching Assistant, UNCC, Charlotte Jun 2023 - Present

● Designed a course curriculum in application development that improved students proficiency in technologies like React, NodeJS, and JavaScript by 30%, as measured by project assessments and exam results.

● Mentored and guided 120 students in web technologies, and programming languages, resulting in a remarkable 20% enhancement in troubleshooting skills and web application success rates.

● Engineered a database integration solution that integrates data from the GitHub API with internal project records using SQL, leading to a 60% improvement in the efficiency of tracking of student’s performance. Web Developer, UNCC, Charlotte Jan 2023 - May 2023

● Engineered a trading web app using MVC, Express JS, and MongoDB, facilitating secure item exchange. Implemented permission-based approval, resulting in a 20% increase in successful trades. Strengthened data security through authentication and authorization with password hashing.

● Proficiently modernized and migrated TypeScript codebase using MVC, enhancing code maintenance and team collaboration. This transition yielded an impressive 50% enhancement in development efficiency.

● Integrated MongoDB as a NoSQL database solution, allowing for flexible data storage and efficient data retrieval, improving application scalability.

● Championed cloud application deployment by leading Amazon AWS EC2 deployments, guaranteeing a remarkable 99.9% uptime, and achieving a 30% reduction in operational costs through Git-enabled version control. Software Development Engineer, DBS Asia Hub 2 Private Ltd Jan 2020 - Dec 2022

• Developed a banking project by migrating old components to React for enhanced enterprise agility. Created UI elements following designer's guidelines, seamlessly integrated with REST APIs, optimizing user flow.

• Engineered an "Update Profile" functionality enabling user customization of personal details and contributing to a 30% reduction in user journey friction and resiliency by implementing rate limiter, automated testing.

• Interacted with Legacy components, to understand the existing flow and re-engineered them to Micro Frontend Components and established continuous high availability by increasing stability by 40%.

• Leveraged React Saga for efficient state management and side-effect handling in the Branch Connect, BSSB project, contributing to a 28% reduction in fraudulent transactions through enhanced verification processes

• Spearheaded Agile, Test-Driven Development (TDD)and CI/CD methodologies in a fast-paced environment, igniting a 30% reduction in bugs, and significantly enhancing maintainability and development velocity through rigorous unit testing with Jest, JMeter and Selenium.

PROJECTS

• Branch Connect, BSSB: Developed an efficient online banking system, expediting financial and non-financial transactions by 30%. Integrated a Feature Toggle for verifying duplicate contact details, empowering users to validate proof of ownership, reducing fraudulent transactions by 28%.

• Client Connect in Investment and Insurance: Engineered AWS-hosted website for Manulife India, optimizing investment and insurance choices. Enhanced organization of medical records, academic reports, and financial data, leading to a 25% increase in decision-making efficiency.

• Analysis of Negative Sentiment in US political Twitter Space: Analyzed the toxicity in the political twitter space during various major events using a Natural Language Processing algorithm, Vader, on nearly 450,000 political and non-political tweets retrieved from Twitter using the TweepyAPI, over a 24-month period (2021-2022).

• Placement Prediction for Graduate Students: Created a student placement prediction neural network leveraging key dataset features, validated with decision trees, achieving 94.92% accuracy. Architecture includes pre-CNN compression, 2 convolutions, Max Pooling, fully connected layer, and SoftMax output.