Full Stack Software Engineer Specializing in Web Technologies and Da

SIDDARTHA GORUGANTI

+1-667-***-**** *****************@*****.*** Linkedin Github Portfolio

EDUCATION

North Carolina State University, Raleigh, NC. 08/2023 - Expected May 2025 Master of Computer Science GPA: 4.0/4.0

Coursework : Software Engineering Practices, Data Science, Object oriented development, Cloud Technologies. Osmania University (UCEOU), Hyderabad, India. 07/2018 - 06/2022 Bachelor of Engineering in Computer Science CGPA: 8.73/10 TECHNICAL SKILLS

● Languages: C, C++, Java, Dart, Python, Ruby on Rails.

● Web Technologies : HTML5, JavaScript, Typescript, NodeJS, ReactJs, Flutter, Angular, Spring Boot, REST Api’s.

● Databases : My SQL, PostgreSQL, Firebase database, MongoDB.

● Skills and Tools: AWS Amplify, Docker, GIT, Visual studio, CI/CD, DBMS, Operating Systems, OOP’S. WORK EXPERIENCE

Software Developer Engineer, Broadridge, India July 2022 - July 2023

● Developed the project 'DLT Repo', a Blockchain-based platform for repo transactions, utilizing RESTful APIs and DAML to streamline settlement processes, enhancing transaction efficiency by around 30%.

● Contributed to the initial design of the Sponsored Repos model, a SaaS-oriented platform, developed Node.js API endpoints for settlements, and built user-centric screens using React.js, enhancing system responsiveness by 50%.

● Utilized PostgreSQL for robust data management and Docker for containerization of services, Azure for ensuring scalable and secure application deployment; maintained code integrity and workflow using GIT.

● Operated in an Agile environment, collaborating with a 40-member web team to streamline development processes. Software Developer Intern, Fosterate, India Feb 2022 - June 2022

● Leveraged the Angular framework to develop a real-time web application, creating an interactive dashboard that increased user engagement by 50% and showcased trending company services with enhanced functionalities.

● Designed and integrated multiple API’s with help of Spring Boot in Java, optimising application’s core functionality and ensuring efficient data handling and management processes, which increased data processing speed by 40%.

● Engineered an automated CI/CD pipeline using Jenkins, streamlining build, test, and deployment processes. Enhanced test coverage and tracked issues in Jira, reducing bugs by 60% for reliable software delivery. PROJECTS

Web Application Development

● Built a full-stack web application using Java to track daily expenses for effective budgeting and financial planning.

● Implemented application features include real time budget tracking, data visualization, secure user authentication.

● Technologies used include HTML, CSS for frontend, NodeJS for API handling and MongoDB for database. Full Stack Web Development View

● Built a Ruby on Rails web application for railway ticket booking with features like user authentication, profile management, dynamic seat availability, rating-review system and a comprehensive admin dashboard.

● Implemented testing using the Spec framework achieving 90% coverage to ensure system reliability.

● Used Ruby on Rails for the backend functionality alongside React to enhance the user interface. Machine Learning Analysis

● Utilized multiple machine learning models including Linear Regression, Decision Tree, Random Forest, and Support Vector Machine models to predict 2024 carbon emissions based on historical data.

● Employed the Climate Watch Historical GHG Emissions dataset, covering 193 countries from 1990 to 2020.

● Applied machine learning techniques to enhance prediction accuracy, achieving a 30% lower RMSE with Linear Regression compared to the next best model.

Web development View

● Developed a gitlab miner tool to extract user specific metrics and activities using GraphQl queries.

● Executed graphql queries to obtain detailed insights into user contributions on gitlab which include gists, issues, pull requests, repository discussions and overall repository contributions.

● Constructed an user-friendly user interface using React framework to effectively display extracted metrics. LEADERSHIP

● ML Workshop - Coordinated a 2 day AI & ML workshop facilitated by industry experts to enhance participant skills

● University Hackathon - Led a 4 member team to a 3rd place finish among 30 teams in university-wide hackathon.

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