RAJASEKHAR REDDY VAKA

Highly skilled Full Stack Software Engineer with over two years of hands-on experience in a wide range of technologies and a master’s in computer science. Proven track record of designing and implementing customer-focused solutions, improving user experience through innovative UI/UX design, and leveraging machine learning skills. Seeking a challenging SDE role to continue driving creativity and professional growth. ADDITIONAL EXPERIENCE AND SKILLS Teaching Assistant at George Mason University for an Analysis of Algorithms course. Strong leadership skills with the ability to lead or drive a project from beginning to end. Excellent consulting and communication skills. Efficient in working with cross-functional teams and integrating back-end, front-end, and design elements. Proven problem-solving abilities and a creative approach to new challenges. Comfortable in fast-paced and changing environments, with the ability to adapt to new technologies and frameworks quickly.

 Project 1: Stock market analysis using machine learning’s Artificial Neural Networks. 

• Explored different machine learning models developed with ANN and SVM and documented literature review on them. 

• Implemented LTSM algorithm to create a model for predicting future stock value, programmed in Java language. 

• Used this model in real stocks like Amazon, Tesla, and Ali Baba and was able to achieve a profit of $250 in 3 months. 

Project 2: Deployment of scalable microservices on the cloud. 

• Worked on Angular 8 to create a frontend JavaScript-based web page. 

• Utilized REST API, Spring Boot and Java language in the backend. 

• Containerizing the application using Docker and deploying them on the Kubernetes orchestration platform, AWS EKS. 

• Created a git repository and a CI/CD pipeline with the help of Jenkins. 

Project 3: Building a lightweight application and deploying it on serverless computing. 

• Developed a standalone application using Python. 

• Deployed the application on AWS Lambda for serverless computing. 

• Managed data using Amazon Relational Database Service (Amazon RDS). 

• Deployed the front-end Angular web project on Amazon S3 and used AWS API Gateway for managing REST calls. 

Project 4: API Development and Integration. 

• Designed and implemented RESTful APIs using Express.js, improving data communication and application efficiency. 

• Integrated third-party APIs to extend application functionality, providing a more feature-rich user experience. 

• Utilized Postman for API testing and documentation, ensuring reliability and smooth integration. 

• Teaching Assistant at George Mason University for an Analysis of Algorithms course

• Strong leadership skills with the ability to lead or drive a project from beginning to end

• Excellent consulting and communication skills

• Efficient in working with cross-functional teams and integrating back-end, front-end, and design elements

• Proven problem-solving abilities and a creative approach to new challenges

• Comfortable in fast-paced and changing environments, with the ability to adapt to new technologies and frameworks quickly.