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AI Research Engineer with less than a year in AI/ML & Python
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Assessing your cultural and operational fit
Motivated AI/ML student with strong programming skills in Python and core computer science fundamentals. Experienced in academic projects and problem-solving. Adaptable, quick learner, and eager to contribute to innovative teams while continuously upgrading technical skills.
Kamala Institute of Technology and Science
BTech · Artificial Intelligence and Machine Learning
August 1, 2022 – June 30, 2026
Alphores Junior College
Board of intermediate
June 1, 2020 – May 31, 2022
Turing
Business Analyst
January 1, 2026 – March 31, 2026
India
Flood Forecasting System using Machine Learning
June 24, 2026 – Present
Built a flood prediction model using rainfall and precipitation datasets to classify flood occurrence. Performed data preprocessing, normalization, feature selection, and train-test splitting (80/20). Implemented and compared SVM, Logistic Regression, KNN, and MLP models; achieved highest accuracy with MLP. Developed and deployed a Django-based web application for real-time flood prediction and early warning support.
GitHub Profile Analyzer API
June 24, 2026 – Present
Developed a GitHub Profile Analyzer API using Node.js, Express.js, MySQL, and the GitHub REST API to fetch, analyze, and store GitHub user profile data. The application retrieves public profile information and generates useful insights such as repository count, followers, following, account age, follower-to-following ratio, and a custom popularity score. Designed and managed the database using MySQL implemented RESTful APIs for profile analysis and data retrieval, and containerized the application with Docker for easy deployment and scalability. The project demonstrates backend development, third-party API integration, database design, and cloud deployment skills.
Udemy python programming course
Udemy
June 1, 2026 – Present
AI for all program by INTEL
INTEL
June 1, 2026 – Present
AI ML virtual Internship from EDU Skills
EDU Skills
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show initiative and a problem-solving mindset, aligning with a culture of innovation. The internship experience, though brief, indicates an ability to work with product and research teams. The diversity of projects (ML model, API development) and certifications suggests a proactive approach to learning and skill development, which is beneficial for cultural fit in a dynamic AI research environment.
Soft Skills & Operational Fit
The candidate demonstrates adaptability and a quick learning ability, as stated in their career objective. The Business Analyst internship highlights collaboration skills and an understanding of quality benchmarking and bias detection in AI systems. These traits suggest a good operational fit for a research-oriented role requiring iterative development and quality assurance.