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Master’s Student in Computer Science at Kennesaw State University | Aspiring Software Developer | Passionate About AI, Machine Learning
Aspiring Software Developer and Machine Learning Engineer, currently pursuing my Master’s in Computer Science at Kennesaw State University (GPA: 4.0). Passionate about Artificial Intelligence, Machine Learning, and Full-Stack Development, with hands-on experience in Java, Python, PEGA, and Cloud Technologies. I have gained practical software development experience through an internship at GeeksforGeeks, where I worked on Java-based applications, optimized performance, and collaborated in Agile environments. My expertise spans across application development, AI/ML models, cloud computing (AWS & Oracle), and database management. Additionally, my research on Weather Prediction Using LSTM was published in the International Conference on Computer Science and Engineering (I2CSE-23) and featured in the European Chemical Bulletin, highlighting my contributions to forecasting techniques and computational science. I am actively seeking opportunities in Software Development, Machine Learning, and Cloud Engineering to leverage my skills and contribute to innovative and impactful projects. Let’s connect! 🚀 #SoftwareDevelopment #MachineLearning #AI #Java #CloudComputing #AWS #FullStackDevelopment #DataScience
Kennesaw State University - (CCSE) College of Computing and Software Engineering
Master of Science - MS, Computer Science
August 1, 2024 – May 1, 2026
KL University
Bachelor's degree, Computer Science
July 1, 2019 – April 1, 2023
Tirumala junior college
Intermediate, MPC
July 1, 2017 – April 1, 2019
Tiumala proactive EM High school
Secondary education, State
July 1, 2016 – April 1, 2017
GeeksforGeeks
Java App Development Intern
January 1, 2021 – April 1, 2021
Remote
AWS Academy Graduate - AWS Academy Cloud Foundations
Amazon Web Services (AWS)
June 25, 2026 – Present
AWS Certified Developer – Associate
Amazon Web Services (AWS)
June 25, 2026 – Present
Aviatrix Certified Engineer - Multi-Cloud Network Associate
Aviatrix
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's profile shows a focus on academic progression and foundational technical skills. The internship experience and certifications indicate an interest in software development and cloud technologies. However, the lack of diverse project experience beyond a single internship and limited explicit skill declarations suggests a nascent professional profile. Cultural fit cannot be fully assessed without more information on collaboration, problem-solving approaches, and alignment with specific company values.
Soft Skills & Operational Fit
The candidate's internship description mentions participation in code reviews, strengthening knowledge of Agile methodologies, and working effectively in a remote team environment, suggesting an understanding of collaborative development practices. However, without specific psychometric test results or further behavioral data, a comprehensive assessment of soft skills and operational fit is limited.