Software Engineer with less than a year in AWS, Machine Learning, and Database Management.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Information Science student with strong programming and software development skills. Quick learner with excellent problem-solving abilities, seeking an entry-level role to apply technical knowledge and contribute to organizational success.
Sri Krishna Institute of Technology
Bachelor of Engineering · Information Science
August 1, 2021 – July 1, 2025
Dhanusha Science Campus
Intermediate (+2) · PCBM
August 1, 2017 – June 1, 2019
I Studio
AWS Intern
February 23, 2025 – June 28, 2025
India
Lung Cancer Detection Using Machine Learning Techniques
November 1, 2024 – November 1, 2024
Developed a scalable machine learning model utilizing Convolutional Neural Networks (CNNs) for accurate analysis of medical imaging data. Integrated the trained model with a Flask-based RESTful API and interactive web interface for real-time prediction and user-friendly diagnosis support. Integrated the predictive model with a Flask-based RESTful API and an interactive web interface for real-time disease detection and user interaction.
View ProjectStudent Management System
September 1, 2023 – September 1, 2023
Designed and implemented a relational database management system (RDBMS) to systematically manage student records, academic details, and course data. Developed CRUD functionalities and modular APIs for efficient data retrieval and manipulation within a dynamic AngularJS frontend and Flask backend environment.
Drone Technology Innovation Challenge
Unknown
June 1, 2026 – Present
Completed AWS Intern
I Studio
June 28, 2025 – Present
Participated in Project Exhibition “ANVESHANA - 2025"
Research and Development cell SKIT
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in diverse areas like machine learning for medical imaging and traditional student management systems. The AWS internship indicates a willingness to learn and apply cloud technologies. The certifications, including participation in project exhibitions and a drone technology challenge, suggest an proactive and engaged approach to learning and innovation. This breadth of interest and engagement aligns well with a culture that values continuous learning and diverse problem-solving.
Soft Skills & Operational Fit
The candidate lists several soft skills including communication, leadership, problem-solving, and teamwork. While these are positive indicators, there is no direct assessment data to validate their operational fit or the practical application of these skills in a professional setting beyond self-declaration. The academic projects and internship suggest some level of collaboration and problem-solving.